95% off Complete Machine Learning & Data Science Bootcamp 2021 (Coupon & Review)

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Complete Machine Learning & Data Science Bootcamp 2021 - Udemy Coupon

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This is the best Udemy Complete Machine Learning & Data Science Bootcamp 2021 coupon code discount for 2024.

So if you’re interested in Andrei Neagoie, Daniel Bourke’s “Complete Machine Learning & Data Science Bootcamp 2021” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Complete Machine Learning & Data Science Bootcamp 2021 review for 2024

In our review of this course, we try to help you answer all of your most important questions about Complete Machine Learning & Data Science Bootcamp 2021 as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use CMLADSZTM as an abbreviation of the course name?

During our Complete Machine Learning & Data Science Bootcamp 2021 course review, you might sometimes see us refer to it as CMLADSZTM for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and CMLADSZTM is simpler and easier for reviewing purposes

The full course name is 59 characters long, including blanks, while CMLADSZTM is 9 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 50 characters every time we use CMLADSZTM.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to CMLADSZTM throughout the remainder of this review.

Is the Complete Machine Learning & Data Science Bootcamp 2021 course for you?

To determine whether Andrei Neagoie, Daniel Bourke’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Andrei Neagoie, Daniel Bourke’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Andrei Neagoie, Daniel Bourke chose for the course, “Complete Machine Learning & Data Science Bootcamp 2021”, as well as its subtitle: “Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Andrei Neagoie, Daniel Bourke is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what CMLADSZTM is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Andrei Neagoie, Daniel Bourke hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Complete Machine Learning & Data Science Bootcamp 2021 is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Andrei Neagoie, Daniel Bourke’s official description of CMLADSZTM

This is a brand new Machine Learning and Data Science course just launched in 2020 and updated this month with the latest trends and skills! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 350,000+ engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies.

Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know).

(Read more about this course on the official course page.)

Does CMLADSZTM pass the 30 Seconds Test?

You can read a lot more about Complete Machine Learning & Data Science Bootcamp 2021 on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Andrei Neagoie, Daniel Bourke has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Complete Machine Learning & Data Science Bootcamp 2021 appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with CMLADSZTM above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Andrei Neagoie, Daniel Bourke do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Andrei Neagoie, Daniel Bourke’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Andrei Neagoie, Daniel Bourke sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the CMLADSZTM course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Andrei Neagoie, Daniel Bourke’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Andrei Neagoie, Daniel Bourke, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Andrei Neagoie, Daniel Bourke’s Udemy bio

Andrei is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Tesla, Amazon, JP Morgan, IBM, UNIQLO etc… He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life.

What did you think about Andrei Neagoie, Daniel Bourke after reading just the first few lines of the bio above?

After reading just the first few lines about Andrei Neagoie, Daniel Bourke, did it make you more or less interested in taking the CMLADSZTM course?

And did it make you feel like Andrei Neagoie, Daniel Bourke was more or less credible and qualified to teach Complete Machine Learning & Data Science Bootcamp 2021?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the CMLADSZTM lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Complete Machine Learning & Data Science Bootcamp 2021 course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the CMLADSZTM course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Andrei Neagoie, Daniel Bourke’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Complete Machine Learning & Data Science Bootcamp 2021, as well as the course’s subtitle, Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that CMLADSZTM is potentially a good, useful course for you, and you can have more confidence in Andrei Neagoie, Daniel Bourke’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Andrei Neagoie, Daniel Bourke that you enjoyed?

Have you already learned something from Andrei Neagoie, Daniel Bourke that you valued or enjoyed?

For example, does the Complete Machine Learning & Data Science Bootcamp 2021 training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any CMLADSZTM lessons for free, have you perhaps watched a YouTube video by Andrei Neagoie, Daniel Bourke, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Andrei Neagoie, Daniel Bourke’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Andrei Neagoie, Daniel Bourke’s teaching methods, and the more you enjoy them, the more likely it is that Complete Machine Learning & Data Science Bootcamp 2021 will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Andrei Neagoie, Daniel Bourke before purchasing this course, since it’s one of the best ways to determine whether CMLADSZTM will be helpful for you.)

Are “Complete Machine Learning & Data Science Bootcamp 2021” reviews generally positive?

On the bottom of the CMLADSZTM page, you can read student reviews of the class.

Prior to July 21, 2024, there were 30,297 students enrolled, 5,033 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate CMLADSZTM the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the CMLADSZTM reviews to get an overall sense of them. You don’t have to read each one!

Is Andrei Neagoie, Daniel Bourke responsive to student questions in the CMLADSZTM training?

You can see what other students have to say about this in their CMLADSZTM reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Andrei Neagoie, Daniel Bourke a message through this system quite easily, even if you haven’t bought CMLADSZTM yet.

For example, you could say, “Hi, and I came across CMLADSZTM while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Complete Machine Learning & Data Science Bootcamp 2021 on your own, online?

This is a big one, because Complete Machine Learning & Data Science Bootcamp 2021 is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Complete Machine Learning & Data Science Bootcamp 2021.

Yes, you will be able to interact with the students and the teacher, Andrei Neagoie, Daniel Bourke, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of CMLADSZTM make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Complete Machine Learning & Data Science Bootcamp 2021 training that looks something like this:

  • The purpose of CMLADSZTM can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Andrei Neagoie, Daniel Bourke is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other CMLADSZTM students have great things to say about the program

Other benefits include:

  • You get to go through CMLADSZTM at your own pace
  • You join a community of 30,297 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that CMLADSZTM would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford CMLADSZTM?

Can you comfortably afford the cost of Complete Machine Learning & Data Science Bootcamp 2021?

This is an important question to answer, because even if you think CMLADSZTM sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $14.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on CMLADSZTM with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Complete Machine Learning & Data Science Bootcamp 2021?

By far, the easiest way to get the best and biggest discount on this course is to use the Complete Machine Learning & Data Science Bootcamp 2021 discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Andrei Neagoie, Daniel Bourke’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best CMLADSZTM course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting CMLADSZTM for a better price, but also with any other Andrei Neagoie, Daniel Bourke Udemy course that you’d like to get for cheaper.

How can Google help you get a CMLADSZTM discount?

To use this method, do a Google search for the CMLADSZTM training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Complete Machine Learning & Data Science Bootcamp 2021 promo code” or “Complete Machine Learning & Data Science Bootcamp 2021 udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Andrei Neagoie, Daniel Bourke’s name and see what happens.

For example, you might do a Google search for “Andrei Neagoie, Daniel Bourke Udemy coupons” or “Andrei Neagoie, Daniel Bourke course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Complete Machine Learning & Data Science Bootcamp 2021 coupons” rather than “Andrei Neagoie, Daniel Bourke coupons”.

How can a Udemy sale get you CMLADSZTM for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get CMLADSZTM for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Andrei Neagoie, Daniel Bourke decides not to participate in the site wide sale, then you won’t get a discount on CMLADSZTM, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the CMLADSZTM course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a CMLADSZTM discount from Andrei Neagoie, Daniel Bourke?

If you’re really serious about getting “Complete Machine Learning & Data Science Bootcamp 2021” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Andrei Neagoie, Daniel Bourke, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Andrei Neagoie, Daniel Bourke’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Complete Machine Learning & Data Science Bootcamp 2021. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Andrei Neagoie, Daniel Bourke’s mailing list, if you can find it, and then you hope that at some time CMLADSZTM will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get CMLADSZTM for free?

Of course, the best possible price for the CMLADSZTM training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Andrei Neagoie, Daniel Bourke has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Complete Machine Learning & Data Science Bootcamp 2021 free coupon” or “Complete Machine Learning & Data Science Bootcamp 2021 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Andrei Neagoie, Daniel Bourke has offered free coupons for CMLADSZTM in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a CMLADSZTM free download?

It’s important to understand that there’s a difference between getting full access to the CMLADSZTM training for free legally with a free coupon code vs. finding a way to download CMLADSZTM illegally.

If you really want to go the download route, you can do a google search for something like “Complete Machine Learning & Data Science Bootcamp 2021 download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Complete Machine Learning & Data Science Bootcamp 2021 free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Andrei Neagoie, Daniel Bourke created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 30,297 students enrolled in the program.

Can you get a refund on Complete Machine Learning & Data Science Bootcamp 2021 if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the CMLADSZTM training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Andrei Neagoie, Daniel Bourke’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on CMLADSZTM no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the CMLADSZTM training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Andrei Neagoie, Daniel Bourke could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing CMLADSZTM and not liking it, since you can always get your money back.

What is OCP’s overall rating of Complete Machine Learning & Data Science Bootcamp 2021?

During this CMLADSZTM review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the CMLADSZTM training, the instructor, Andrei Neagoie, Daniel Bourke, and reading what other students have said about this program, we give it an overall rating of 4.8 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Complete Machine Learning & Data Science Bootcamp 2021?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about CMLADSZTM

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what CMLADSZTM’s online training is all about:

CMLADSZTM coupon & course info

Course Name: Complete Machine Learning & Data Science Bootcamp 2021

Subtitle: Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

Instructor: Taught by Andrei Neagoie, Daniel Bourke

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $14.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

CMLADSZTM review info & popularity

Prior to July 21, 2024…

Students: 30,297 students enrolled

Ratings: 5,033 reviews

Rank: ranked #1569 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Complete Machine Learning & Data Science Bootcamp 2021 is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

CMLADSZTM final details

Languages: English

Skill level: All Levels

Lectures: 370 lectures lectures lessons

Duration: 43 total hours hours of video

What you get: Become a Data Scientist and get hired

Target audience: Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science and Python

Requirements: No prior experience is needed (not even Math and Statistics). We start from the very basics.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Modern Natural Language Processing in Python (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Modern Natural Language Processing in Python - Udemy Coupon

Get Discount


This is the best Udemy Modern Natural Language Processing in Python coupon code discount for 2024.

So if you’re interested in Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s “Modern Natural Language Processing in Python” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Modern Natural Language Processing in Python review for 2024

In our review of this course, we try to help you answer all of your most important questions about Modern Natural Language Processing in Python as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use MNLPIP as an abbreviation of the course name?

During our Modern Natural Language Processing in Python course review, you might sometimes see us refer to it as MNLPIP for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and MNLPIP is simpler and easier for reviewing purposes

The full course name is 44 characters long, including blanks, while MNLPIP is 6 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 38 characters every time we use MNLPIP.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to MNLPIP throughout the remainder of this review.

Is the Modern Natural Language Processing in Python course for you?

To determine whether Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team chose for the course, “Modern Natural Language Processing in Python”, as well as its subtitle: “Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what MNLPIP is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Modern Natural Language Processing in Python is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s official description of MNLPIP

Modern Natural Language Processing course is designed for anyone who wants to grow or start a new career and gain a strong background in NLP.

Nowadays, the industry is becoming more and more in need of NLP solutions. Chatbots and online automation, language modeling, event extraction, fraud detection on huge contracts are only a few examples of what is demanded today. Learning NLP is key to bring real solutions to the present and future needs.

(Read more about this course on the official course page.)

Does MNLPIP pass the 30 Seconds Test?

You can read a lot more about Modern Natural Language Processing in Python on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Modern Natural Language Processing in Python appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with MNLPIP above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the MNLPIP course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s Udemy bio

After graduating in Physics and Mathematics from École Polytechnique in France, I specialized in Machine Learning and Artificial Intelligence at ENS. As a Mathematician I like to grasp the full implications behind every algorithm, while as a physicist I want to consider the reality of data from a practical point of view when building an AI. I decided to combined those two aspects of science to build inspiring, intuitive and useful courses for everyone!

What did you think about Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team after reading just the first few lines of the bio above?

After reading just the first few lines about Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, did it make you more or less interested in taking the MNLPIP course?

And did it make you feel like Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team was more or less credible and qualified to teach Modern Natural Language Processing in Python?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the MNLPIP lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Modern Natural Language Processing in Python course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the MNLPIP course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Modern Natural Language Processing in Python, as well as the course’s subtitle, Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that MNLPIP is potentially a good, useful course for you, and you can have more confidence in Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team that you enjoyed?

Have you already learned something from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team that you valued or enjoyed?

For example, does the Modern Natural Language Processing in Python training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any MNLPIP lessons for free, have you perhaps watched a YouTube video by Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s teaching methods, and the more you enjoy them, the more likely it is that Modern Natural Language Processing in Python will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team before purchasing this course, since it’s one of the best ways to determine whether MNLPIP will be helpful for you.)

Are “Modern Natural Language Processing in Python” reviews generally positive?

On the bottom of the MNLPIP page, you can read student reviews of the class.

Prior to July 21, 2024, there were 44,859 students enrolled, 1,027 reviews / ratings, and it was overall rated 4.2 out of 5.

Obviously, the more highly other students rate MNLPIP the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the MNLPIP reviews to get an overall sense of them. You don’t have to read each one!

Is Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team responsive to student questions in the MNLPIP training?

You can see what other students have to say about this in their MNLPIP reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team a message through this system quite easily, even if you haven’t bought MNLPIP yet.

For example, you could say, “Hi, and I came across MNLPIP while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Modern Natural Language Processing in Python on your own, online?

This is a big one, because Modern Natural Language Processing in Python is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Modern Natural Language Processing in Python.

Yes, you will be able to interact with the students and the teacher, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of MNLPIP make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Modern Natural Language Processing in Python training that looks something like this:

  • The purpose of MNLPIP can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other MNLPIP students have great things to say about the program

Other benefits include:

  • You get to go through MNLPIP at your own pace
  • You join a community of 44,859 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that MNLPIP would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford MNLPIP?

Can you comfortably afford the cost of Modern Natural Language Processing in Python?

This is an important question to answer, because even if you think MNLPIP sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $15.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on MNLPIP with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Modern Natural Language Processing in Python?

By far, the easiest way to get the best and biggest discount on this course is to use the Modern Natural Language Processing in Python discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best MNLPIP course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting MNLPIP for a better price, but also with any other Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team Udemy course that you’d like to get for cheaper.

How can Google help you get a MNLPIP discount?

To use this method, do a Google search for the MNLPIP training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Modern Natural Language Processing in Python promo code” or “Modern Natural Language Processing in Python udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s name and see what happens.

For example, you might do a Google search for “Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team Udemy coupons” or “Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Modern Natural Language Processing in Python coupons” rather than “Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team coupons”.

How can a Udemy sale get you MNLPIP for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get MNLPIP for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team decides not to participate in the site wide sale, then you won’t get a discount on MNLPIP, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the MNLPIP course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a MNLPIP discount from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team?

If you’re really serious about getting “Modern Natural Language Processing in Python” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Modern Natural Language Processing in Python. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s mailing list, if you can find it, and then you hope that at some time MNLPIP will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get MNLPIP for free?

Of course, the best possible price for the MNLPIP training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Modern Natural Language Processing in Python free coupon” or “Modern Natural Language Processing in Python 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has offered free coupons for MNLPIP in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a MNLPIP free download?

It’s important to understand that there’s a difference between getting full access to the MNLPIP training for free legally with a free coupon code vs. finding a way to download MNLPIP illegally.

If you really want to go the download route, you can do a google search for something like “Modern Natural Language Processing in Python download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Modern Natural Language Processing in Python free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 44,859 students enrolled in the program.

Can you get a refund on Modern Natural Language Processing in Python if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the MNLPIP training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on MNLPIP no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the MNLPIP training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing MNLPIP and not liking it, since you can always get your money back.

What is OCP’s overall rating of Modern Natural Language Processing in Python?

During this MNLPIP review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the MNLPIP training, the instructor, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, and reading what other students have said about this program, we give it an overall rating of 4.7 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Modern Natural Language Processing in Python?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

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Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about MNLPIP

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what MNLPIP’s online training is all about:

MNLPIP coupon & course info

Course Name: Modern Natural Language Processing in Python

Subtitle: Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

Instructor: Taught by Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $15.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

MNLPIP review info & popularity

Prior to July 21, 2024…

Students: 44,859 students enrolled

Ratings: 1,027 reviews

Rank: ranked #1436 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Modern Natural Language Processing in Python is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

MNLPIP final details

Languages: English

Skill level: Intermediate

Lectures: 39 lectures lectures lessons

Duration: 6 total hours hours of video

What you get: Build a Transformer, new model created by Google, for any sequence to sequence task (e.g. a translator)

Target audience: AI amateurs that are eager to learn how we process language nowadays

Requirements: PC with Internet connection

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Deep Learning with Python and Keras (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Deep Learning with Python and Keras - Udemy Coupon

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This is the best Udemy Deep Learning with Python and Keras coupon code discount for 2024.

So if you’re interested in Data Weekends, Jose Portilla, Francesco Mosconi’s “Deep Learning with Python and Keras” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Deep Learning with Python and Keras review for 2024

In our review of this course, we try to help you answer all of your most important questions about Deep Learning with Python and Keras as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use DLWPAK as an abbreviation of the course name?

During our Deep Learning with Python and Keras course review, you might sometimes see us refer to it as DLWPAK for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and DLWPAK is simpler and easier for reviewing purposes

The full course name is 35 characters long, including blanks, while DLWPAK is 6 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 29 characters every time we use DLWPAK.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to DLWPAK throughout the remainder of this review.

Is the Deep Learning with Python and Keras course for you?

To determine whether Data Weekends, Jose Portilla, Francesco Mosconi’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Data Weekends, Jose Portilla, Francesco Mosconi’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Data Weekends, Jose Portilla, Francesco Mosconi chose for the course, “Deep Learning with Python and Keras”, as well as its subtitle: “Understand and build Deep Learning models for images, text and more using Python and Keras”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Data Weekends, Jose Portilla, Francesco Mosconi is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what DLWPAK is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Data Weekends, Jose Portilla, Francesco Mosconi hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Deep Learning with Python and Keras is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Data Weekends, Jose Portilla, Francesco Mosconi’s official description of DLWPAK

This course is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems.

We start with a review of Deep Learning applications and a recap of Machine Learning tools and techniques. Then we introduce Artificial Neural Networks and explain how they are trained to solve Regression and Classification problems.

Over the rest of the course we introduce and explain several architectures including Fully Connected, Convolutional and Recurrent Neural Networks, and for each of these we explain both the theory and give plenty of example applications.

(Read more about this course on the official course page.)

Does DLWPAK pass the 30 Seconds Test?

You can read a lot more about Deep Learning with Python and Keras on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Data Weekends, Jose Portilla, Francesco Mosconi has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Deep Learning with Python and Keras appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with DLWPAK above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Data Weekends, Jose Portilla, Francesco Mosconi do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Data Weekends, Jose Portilla, Francesco Mosconi’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Data Weekends, Jose Portilla, Francesco Mosconi sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the DLWPAK course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Data Weekends, Jose Portilla, Francesco Mosconi’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Data Weekends, Jose Portilla, Francesco Mosconi, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Data Weekends, Jose Portilla, Francesco Mosconi’s Udemy bio

Data Weekends™ are accelerated data science workshop for programmers where you can quickly learn to apply predictive analytics to real-world data. We offer courses in Data Analytics, Machine Learning, Deep Learning and Reinforcement Learning.

What did you think about Data Weekends, Jose Portilla, Francesco Mosconi after reading just the first few lines of the bio above?

After reading just the first few lines about Data Weekends, Jose Portilla, Francesco Mosconi, did it make you more or less interested in taking the DLWPAK course?

And did it make you feel like Data Weekends, Jose Portilla, Francesco Mosconi was more or less credible and qualified to teach Deep Learning with Python and Keras?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the DLWPAK lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Deep Learning with Python and Keras course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the DLWPAK course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Data Weekends, Jose Portilla, Francesco Mosconi’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Deep Learning with Python and Keras, as well as the course’s subtitle, Understand and build Deep Learning models for images, text and more using Python and Keras.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that DLWPAK is potentially a good, useful course for you, and you can have more confidence in Data Weekends, Jose Portilla, Francesco Mosconi’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Data Weekends, Jose Portilla, Francesco Mosconi that you enjoyed?

Have you already learned something from Data Weekends, Jose Portilla, Francesco Mosconi that you valued or enjoyed?

For example, does the Deep Learning with Python and Keras training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any DLWPAK lessons for free, have you perhaps watched a YouTube video by Data Weekends, Jose Portilla, Francesco Mosconi, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Data Weekends, Jose Portilla, Francesco Mosconi’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Data Weekends, Jose Portilla, Francesco Mosconi’s teaching methods, and the more you enjoy them, the more likely it is that Deep Learning with Python and Keras will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Data Weekends, Jose Portilla, Francesco Mosconi before purchasing this course, since it’s one of the best ways to determine whether DLWPAK will be helpful for you.)

Are “Deep Learning with Python and Keras” reviews generally positive?

On the bottom of the DLWPAK page, you can read student reviews of the class.

Prior to July 21, 2024, there were 20,031 students enrolled, 2,627 reviews / ratings, and it was overall rated 4.2 out of 5.

Obviously, the more highly other students rate DLWPAK the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the DLWPAK reviews to get an overall sense of them. You don’t have to read each one!

Is Data Weekends, Jose Portilla, Francesco Mosconi responsive to student questions in the DLWPAK training?

You can see what other students have to say about this in their DLWPAK reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Data Weekends, Jose Portilla, Francesco Mosconi a message through this system quite easily, even if you haven’t bought DLWPAK yet.

For example, you could say, “Hi, and I came across DLWPAK while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Deep Learning with Python and Keras on your own, online?

This is a big one, because Deep Learning with Python and Keras is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Deep Learning with Python and Keras.

Yes, you will be able to interact with the students and the teacher, Data Weekends, Jose Portilla, Francesco Mosconi, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of DLWPAK make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Deep Learning with Python and Keras training that looks something like this:

  • The purpose of DLWPAK can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Data Weekends, Jose Portilla, Francesco Mosconi is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other DLWPAK students have great things to say about the program

Other benefits include:

  • You get to go through DLWPAK at your own pace
  • You join a community of 20,031 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that DLWPAK would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford DLWPAK?

Can you comfortably afford the cost of Deep Learning with Python and Keras?

This is an important question to answer, because even if you think DLWPAK sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $14.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on DLWPAK with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Deep Learning with Python and Keras?

By far, the easiest way to get the best and biggest discount on this course is to use the Deep Learning with Python and Keras discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Data Weekends, Jose Portilla, Francesco Mosconi’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best DLWPAK course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting DLWPAK for a better price, but also with any other Data Weekends, Jose Portilla, Francesco Mosconi Udemy course that you’d like to get for cheaper.

How can Google help you get a DLWPAK discount?

To use this method, do a Google search for the DLWPAK training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Deep Learning with Python and Keras promo code” or “Deep Learning with Python and Keras udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Data Weekends, Jose Portilla, Francesco Mosconi’s name and see what happens.

For example, you might do a Google search for “Data Weekends, Jose Portilla, Francesco Mosconi Udemy coupons” or “Data Weekends, Jose Portilla, Francesco Mosconi course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Deep Learning with Python and Keras coupons” rather than “Data Weekends, Jose Portilla, Francesco Mosconi coupons”.

How can a Udemy sale get you DLWPAK for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get DLWPAK for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Data Weekends, Jose Portilla, Francesco Mosconi decides not to participate in the site wide sale, then you won’t get a discount on DLWPAK, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the DLWPAK course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a DLWPAK discount from Data Weekends, Jose Portilla, Francesco Mosconi?

If you’re really serious about getting “Deep Learning with Python and Keras” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Data Weekends, Jose Portilla, Francesco Mosconi, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Data Weekends, Jose Portilla, Francesco Mosconi’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Deep Learning with Python and Keras. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Data Weekends, Jose Portilla, Francesco Mosconi’s mailing list, if you can find it, and then you hope that at some time DLWPAK will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get DLWPAK for free?

Of course, the best possible price for the DLWPAK training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Data Weekends, Jose Portilla, Francesco Mosconi has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Deep Learning with Python and Keras free coupon” or “Deep Learning with Python and Keras 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Data Weekends, Jose Portilla, Francesco Mosconi has offered free coupons for DLWPAK in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a DLWPAK free download?

It’s important to understand that there’s a difference between getting full access to the DLWPAK training for free legally with a free coupon code vs. finding a way to download DLWPAK illegally.

If you really want to go the download route, you can do a google search for something like “Deep Learning with Python and Keras download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Deep Learning with Python and Keras free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Data Weekends, Jose Portilla, Francesco Mosconi created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 20,031 students enrolled in the program.

Can you get a refund on Deep Learning with Python and Keras if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the DLWPAK training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Data Weekends, Jose Portilla, Francesco Mosconi’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on DLWPAK no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the DLWPAK training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Data Weekends, Jose Portilla, Francesco Mosconi could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing DLWPAK and not liking it, since you can always get your money back.

What is OCP’s overall rating of Deep Learning with Python and Keras?

During this DLWPAK review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the DLWPAK training, the instructor, Data Weekends, Jose Portilla, Francesco Mosconi, and reading what other students have said about this program, we give it an overall rating of 4.6 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Deep Learning with Python and Keras?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about DLWPAK

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what DLWPAK’s online training is all about:

DLWPAK coupon & course info

Course Name: Deep Learning with Python and Keras

Subtitle: Understand and build Deep Learning models for images, text and more using Python and Keras

Instructor: Taught by Data Weekends, Jose Portilla, Francesco Mosconi

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $14.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

DLWPAK review info & popularity

Prior to July 21, 2024…

Students: 20,031 students enrolled

Ratings: 2,627 reviews

Rank: ranked #525 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Deep Learning with Python and Keras is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

DLWPAK final details

Languages: English

Skill level: Intermediate

Lectures: 148 lectures lectures lessons

Duration: 10 total hours hours of video

What you get: To describe what Deep Learning is in a simple yet accurate way

Target audience: Software engineers who are curious about data science and about the Deep Learning buzz and want to get a better understanding of it

Requirements: Knowledge of Python, familiarity with control flow (if/else, for loops) and pythonic constructs (functions, classes, iterables, generators)

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Python & Machine Learning for Financial Analysis (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Python & Machine Learning for Financial Analysis - Udemy Coupon

Get Discount


This is the best Udemy Python & Machine Learning for Financial Analysis coupon code discount for 2024.

So if you’re interested in Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s “Python & Machine Learning for Financial Analysis” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Python & Machine Learning for Financial Analysis review for 2024

In our review of this course, we try to help you answer all of your most important questions about Python & Machine Learning for Financial Analysis as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use P&MLFFA as an abbreviation of the course name?

During our Python & Machine Learning for Financial Analysis course review, you might sometimes see us refer to it as P&MLFFA for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and P&MLFFA is simpler and easier for reviewing purposes

The full course name is 48 characters long, including blanks, while P&MLFFA is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 41 characters every time we use P&MLFFA.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to P&MLFFA throughout the remainder of this review.

Is the Python & Machine Learning for Financial Analysis course for you?

To determine whether Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard chose for the course, “Python & Machine Learning for Financial Analysis”, as well as its subtitle: “Master Python Programming Fundamentals and Harness the Power of ML to Solve Real-World Practical Applications in Finance”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what P&MLFFA is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Python & Machine Learning for Financial Analysis is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s official description of P&MLFFA

Are you ready to learn python programming fundamentals and directly apply them to solve real world applications in Finance and Banking?

If the answer is yes, then welcome to the “The Complete Python and Machine Learning for Financial Analysis” course in which you will learn everything you need to develop practical real-world finance/banking applications in Python!

So why Python?

(Read more about this course on the official course page.)

Does P&MLFFA pass the 30 Seconds Test?

You can read a lot more about Python & Machine Learning for Financial Analysis on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Python & Machine Learning for Financial Analysis appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with P&MLFFA above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the P&MLFFA course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s Udemy bio

Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan’s mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business.

What did you think about Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard after reading just the first few lines of the bio above?

After reading just the first few lines about Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, did it make you more or less interested in taking the P&MLFFA course?

And did it make you feel like Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard was more or less credible and qualified to teach Python & Machine Learning for Financial Analysis?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the P&MLFFA lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Python & Machine Learning for Financial Analysis course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the P&MLFFA course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Python & Machine Learning for Financial Analysis, as well as the course’s subtitle, Master Python Programming Fundamentals and Harness the Power of ML to Solve Real-World Practical Applications in Finance.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that P&MLFFA is potentially a good, useful course for you, and you can have more confidence in Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard that you enjoyed?

Have you already learned something from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard that you valued or enjoyed?

For example, does the Python & Machine Learning for Financial Analysis training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any P&MLFFA lessons for free, have you perhaps watched a YouTube video by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s teaching methods, and the more you enjoy them, the more likely it is that Python & Machine Learning for Financial Analysis will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard before purchasing this course, since it’s one of the best ways to determine whether P&MLFFA will be helpful for you.)

Are “Python & Machine Learning for Financial Analysis” reviews generally positive?

On the bottom of the P&MLFFA page, you can read student reviews of the class.

Prior to July 21, 2024, there were 71,942 students enrolled, 904 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate P&MLFFA the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the P&MLFFA reviews to get an overall sense of them. You don’t have to read each one!

Is Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard responsive to student questions in the P&MLFFA training?

You can see what other students have to say about this in their P&MLFFA reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard a message through this system quite easily, even if you haven’t bought P&MLFFA yet.

For example, you could say, “Hi, and I came across P&MLFFA while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Python & Machine Learning for Financial Analysis on your own, online?

This is a big one, because Python & Machine Learning for Financial Analysis is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Python & Machine Learning for Financial Analysis.

Yes, you will be able to interact with the students and the teacher, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of P&MLFFA make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Python & Machine Learning for Financial Analysis training that looks something like this:

  • The purpose of P&MLFFA can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other P&MLFFA students have great things to say about the program

Other benefits include:

  • You get to go through P&MLFFA at your own pace
  • You join a community of 71,942 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that P&MLFFA would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford P&MLFFA?

Can you comfortably afford the cost of Python & Machine Learning for Financial Analysis?

This is an important question to answer, because even if you think P&MLFFA sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on P&MLFFA with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Python & Machine Learning for Financial Analysis?

By far, the easiest way to get the best and biggest discount on this course is to use the Python & Machine Learning for Financial Analysis discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best P&MLFFA course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting P&MLFFA for a better price, but also with any other Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard Udemy course that you’d like to get for cheaper.

How can Google help you get a P&MLFFA discount?

To use this method, do a Google search for the P&MLFFA training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Python & Machine Learning for Financial Analysis promo code” or “Python & Machine Learning for Financial Analysis udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s name and see what happens.

For example, you might do a Google search for “Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard Udemy coupons” or “Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Python & Machine Learning for Financial Analysis coupons” rather than “Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard coupons”.

How can a Udemy sale get you P&MLFFA for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get P&MLFFA for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard decides not to participate in the site wide sale, then you won’t get a discount on P&MLFFA, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the P&MLFFA course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a P&MLFFA discount from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard?

If you’re really serious about getting “Python & Machine Learning for Financial Analysis” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Python & Machine Learning for Financial Analysis. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s mailing list, if you can find it, and then you hope that at some time P&MLFFA will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get P&MLFFA for free?

Of course, the best possible price for the P&MLFFA training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Python & Machine Learning for Financial Analysis free coupon” or “Python & Machine Learning for Financial Analysis 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard has offered free coupons for P&MLFFA in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a P&MLFFA free download?

It’s important to understand that there’s a difference between getting full access to the P&MLFFA training for free legally with a free coupon code vs. finding a way to download P&MLFFA illegally.

If you really want to go the download route, you can do a google search for something like “Python & Machine Learning for Financial Analysis download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Python & Machine Learning for Financial Analysis free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 71,942 students enrolled in the program.

Can you get a refund on Python & Machine Learning for Financial Analysis if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the P&MLFFA training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on P&MLFFA no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the P&MLFFA training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing P&MLFFA and not liking it, since you can always get your money back.

What is OCP’s overall rating of Python & Machine Learning for Financial Analysis?

During this P&MLFFA review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the P&MLFFA training, the instructor, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, and reading what other students have said about this program, we give it an overall rating of 5 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Python & Machine Learning for Financial Analysis?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about P&MLFFA

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what P&MLFFA’s online training is all about:

P&MLFFA coupon & course info

Course Name: Python & Machine Learning for Financial Analysis

Subtitle: Master Python Programming Fundamentals and Harness the Power of ML to Solve Real-World Practical Applications in Finance

Instructor: Taught by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

P&MLFFA review info & popularity

Prior to July 21, 2024…

Students: 71,942 students enrolled

Ratings: 904 reviews

Rank: ranked #212 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Python & Machine Learning for Financial Analysis is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

P&MLFFA final details

Languages: English

Skill level: Intermediate

Lectures: 131 lectures lectures lessons

Duration: 23 total hours hours of video

What you get: Master Python 3 programming fundamentals for Data Science and Machine Learning with focus on Finance.

Target audience: Financial analysts who want to harness the power of Data science and AI to optimize business processes, maximize revenue, reduce costs.

Requirements: No prior experience required.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off A Complete Guide on TensorFlow 2.0 using Keras API (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

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This is the best Udemy A Complete Guide on TensorFlow 2.0 using Keras API coupon code discount for 2024.

So if you’re interested in Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s “A Complete Guide on TensorFlow 2.0 using Keras API” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

A Complete Guide on TensorFlow 2.0 using Keras API review for 2024

In our review of this course, we try to help you answer all of your most important questions about A Complete Guide on TensorFlow 2.0 using Keras API as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use ACGOT2UKA as an abbreviation of the course name?

During our A Complete Guide on TensorFlow 2.0 using Keras API course review, you might sometimes see us refer to it as ACGOT2UKA for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and ACGOT2UKA is simpler and easier for reviewing purposes

The full course name is 50 characters long, including blanks, while ACGOT2UKA is 9 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 41 characters every time we use ACGOT2UKA.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to ACGOT2UKA throughout the remainder of this review.

Is the A Complete Guide on TensorFlow 2.0 using Keras API course for you?

To determine whether Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin chose for the course, “A Complete Guide on TensorFlow 2.0 using Keras API”, as well as its subtitle: “Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what ACGOT2UKA is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what A Complete Guide on TensorFlow 2.0 using Keras API is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s official description of ACGOT2UKA

Welcome to Tensorflow 2.0!

TensorFlow 2.0 has just been released, and it introduced many features that simplify the model development and maintenance processes. From the educational side, it boosts people’s understanding by simplifying many complex concepts. From the industry point of view, models are much easier to understand, maintain, and develop.

(Read more about this course on the official course page.)

Does ACGOT2UKA pass the 30 Seconds Test?

You can read a lot more about A Complete Guide on TensorFlow 2.0 using Keras API on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did A Complete Guide on TensorFlow 2.0 using Keras API appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with ACGOT2UKA above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the ACGOT2UKA course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s Udemy bio

Hadelin is the co-founder and CEO at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by innovating, automating processes and maximizing efficiency. Hadelin is also an online entrepreneur who has created 70+ top-rated educational e-courses to the world on topics such as Machine Learning, Deep Learning, Artificial Intelligence and Blockchain, which have reached 1M+ students in 210 countries.

What did you think about Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin after reading just the first few lines of the bio above?

After reading just the first few lines about Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, did it make you more or less interested in taking the ACGOT2UKA course?

And did it make you feel like Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin was more or less credible and qualified to teach A Complete Guide on TensorFlow 2.0 using Keras API?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the ACGOT2UKA lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the A Complete Guide on TensorFlow 2.0 using Keras API course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the ACGOT2UKA course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, A Complete Guide on TensorFlow 2.0 using Keras API, as well as the course’s subtitle, Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that ACGOT2UKA is potentially a good, useful course for you, and you can have more confidence in Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin that you enjoyed?

Have you already learned something from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin that you valued or enjoyed?

For example, does the A Complete Guide on TensorFlow 2.0 using Keras API training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any ACGOT2UKA lessons for free, have you perhaps watched a YouTube video by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s teaching methods, and the more you enjoy them, the more likely it is that A Complete Guide on TensorFlow 2.0 using Keras API will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin before purchasing this course, since it’s one of the best ways to determine whether ACGOT2UKA will be helpful for you.)

Are “A Complete Guide on TensorFlow 2.0 using Keras API” reviews generally positive?

On the bottom of the ACGOT2UKA page, you can read student reviews of the class.

Prior to July 21, 2024, there were 50,483 students enrolled, 1,437 reviews / ratings, and it was overall rated 4.3 out of 5.

Obviously, the more highly other students rate ACGOT2UKA the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the ACGOT2UKA reviews to get an overall sense of them. You don’t have to read each one!

Is Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin responsive to student questions in the ACGOT2UKA training?

You can see what other students have to say about this in their ACGOT2UKA reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin a message through this system quite easily, even if you haven’t bought ACGOT2UKA yet.

For example, you could say, “Hi, and I came across ACGOT2UKA while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in A Complete Guide on TensorFlow 2.0 using Keras API on your own, online?

This is a big one, because A Complete Guide on TensorFlow 2.0 using Keras API is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking A Complete Guide on TensorFlow 2.0 using Keras API.

Yes, you will be able to interact with the students and the teacher, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of ACGOT2UKA make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the A Complete Guide on TensorFlow 2.0 using Keras API training that looks something like this:

  • The purpose of ACGOT2UKA can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other ACGOT2UKA students have great things to say about the program

Other benefits include:

  • You get to go through ACGOT2UKA at your own pace
  • You join a community of 50,483 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that ACGOT2UKA would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford ACGOT2UKA?

Can you comfortably afford the cost of A Complete Guide on TensorFlow 2.0 using Keras API?

This is an important question to answer, because even if you think ACGOT2UKA sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on ACGOT2UKA with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on A Complete Guide on TensorFlow 2.0 using Keras API?

By far, the easiest way to get the best and biggest discount on this course is to use the A Complete Guide on TensorFlow 2.0 using Keras API discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best ACGOT2UKA course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting ACGOT2UKA for a better price, but also with any other Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin Udemy course that you’d like to get for cheaper.

How can Google help you get a ACGOT2UKA discount?

To use this method, do a Google search for the ACGOT2UKA training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy A Complete Guide on TensorFlow 2.0 using Keras API promo code” or “A Complete Guide on TensorFlow 2.0 using Keras API udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s name and see what happens.

For example, you might do a Google search for “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin Udemy coupons” or “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “A Complete Guide on TensorFlow 2.0 using Keras API coupons” rather than “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin coupons”.

How can a Udemy sale get you ACGOT2UKA for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get ACGOT2UKA for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin decides not to participate in the site wide sale, then you won’t get a discount on ACGOT2UKA, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the ACGOT2UKA course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a ACGOT2UKA discount from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin?

If you’re really serious about getting “A Complete Guide on TensorFlow 2.0 using Keras API” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in A Complete Guide on TensorFlow 2.0 using Keras API. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s mailing list, if you can find it, and then you hope that at some time ACGOT2UKA will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get ACGOT2UKA for free?

Of course, the best possible price for the ACGOT2UKA training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “A Complete Guide on TensorFlow 2.0 using Keras API free coupon” or “A Complete Guide on TensorFlow 2.0 using Keras API 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin has offered free coupons for ACGOT2UKA in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a ACGOT2UKA free download?

It’s important to understand that there’s a difference between getting full access to the ACGOT2UKA training for free legally with a free coupon code vs. finding a way to download ACGOT2UKA illegally.

If you really want to go the download route, you can do a google search for something like “A Complete Guide on TensorFlow 2.0 using Keras API download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “A Complete Guide on TensorFlow 2.0 using Keras API free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 50,483 students enrolled in the program.

Can you get a refund on A Complete Guide on TensorFlow 2.0 using Keras API if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the ACGOT2UKA training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on ACGOT2UKA no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the ACGOT2UKA training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing ACGOT2UKA and not liking it, since you can always get your money back.

What is OCP’s overall rating of A Complete Guide on TensorFlow 2.0 using Keras API?

During this ACGOT2UKA review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the ACGOT2UKA training, the instructor, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, and reading what other students have said about this program, we give it an overall rating of 4.6 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to A Complete Guide on TensorFlow 2.0 using Keras API?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about ACGOT2UKA

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what ACGOT2UKA’s online training is all about:

ACGOT2UKA coupon & course info

Course Name: A Complete Guide on TensorFlow 2.0 using Keras API

Subtitle: Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

Instructor: Taught by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

ACGOT2UKA review info & popularity

Prior to July 21, 2024…

Students: 50,483 students enrolled

Ratings: 1,437 reviews

Rank: ranked #764 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if A Complete Guide on TensorFlow 2.0 using Keras API is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

ACGOT2UKA final details

Languages: English

Skill level: Beginner

Lectures: 133 lectures lectures lessons

Duration: 13 total hours hours of video

What you get: How to use Tensorflow 2.0 in Data Science

Target audience: Deep Learning Engineers who want to learn Tensorflow 2.0

Requirements: Some maths basics like knowing what is a differentiation or a gradient

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Artificial Intelligence Masterclass (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Artificial Intelligence Masterclass - Udemy Coupon

Get Discount


This is the best Udemy Artificial Intelligence Masterclass coupon code discount for 2024.

So if you’re interested in Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s “Artificial Intelligence Masterclass” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Artificial Intelligence Masterclass review for 2024

In our review of this course, we try to help you answer all of your most important questions about Artificial Intelligence Masterclass as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use AIM as an abbreviation of the course name?

During our Artificial Intelligence Masterclass course review, you might sometimes see us refer to it as AIM for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and AIM is simpler and easier for reviewing purposes

The full course name is 35 characters long, including blanks, while AIM is 3 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 32 characters every time we use AIM.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to AIM throughout the remainder of this review.

Is the Artificial Intelligence Masterclass course for you?

To determine whether Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team chose for the course, “Artificial Intelligence Masterclass”, as well as its subtitle: “Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what AIM is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Artificial Intelligence Masterclass is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s official description of AIM

Today, we are bringing you the king of our AI courses…:

The Artificial Intelligence MASTERCLASS

(Read more about this course on the official course page.)

Does AIM pass the 30 Seconds Test?

You can read a lot more about Artificial Intelligence Masterclass on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Artificial Intelligence Masterclass appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with AIM above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the AIM course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s Udemy bio

Hadelin is the co-founder and CEO at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by innovating, automating processes and maximizing efficiency. Hadelin is also an online entrepreneur who has created 70+ top-rated educational e-courses to the world on topics such as Machine Learning, Deep Learning, Artificial Intelligence and Blockchain, which have reached 1M+ students in 210 countries.

What did you think about Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team after reading just the first few lines of the bio above?

After reading just the first few lines about Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, did it make you more or less interested in taking the AIM course?

And did it make you feel like Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team was more or less credible and qualified to teach Artificial Intelligence Masterclass?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the AIM lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Artificial Intelligence Masterclass course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the AIM course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Artificial Intelligence Masterclass, as well as the course’s subtitle, Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that AIM is potentially a good, useful course for you, and you can have more confidence in Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team that you enjoyed?

Have you already learned something from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team that you valued or enjoyed?

For example, does the Artificial Intelligence Masterclass training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any AIM lessons for free, have you perhaps watched a YouTube video by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s teaching methods, and the more you enjoy them, the more likely it is that Artificial Intelligence Masterclass will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team before purchasing this course, since it’s one of the best ways to determine whether AIM will be helpful for you.)

Are “Artificial Intelligence Masterclass” reviews generally positive?

On the bottom of the AIM page, you can read student reviews of the class.

Prior to July 21, 2024, there were 8,775 students enrolled, 838 reviews / ratings, and it was overall rated 4.3 out of 5.

Obviously, the more highly other students rate AIM the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the AIM reviews to get an overall sense of them. You don’t have to read each one!

Is Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team responsive to student questions in the AIM training?

You can see what other students have to say about this in their AIM reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team a message through this system quite easily, even if you haven’t bought AIM yet.

For example, you could say, “Hi, and I came across AIM while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Artificial Intelligence Masterclass on your own, online?

This is a big one, because Artificial Intelligence Masterclass is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Artificial Intelligence Masterclass.

Yes, you will be able to interact with the students and the teacher, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of AIM make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Artificial Intelligence Masterclass training that looks something like this:

  • The purpose of AIM can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other AIM students have great things to say about the program

Other benefits include:

  • You get to go through AIM at your own pace
  • You join a community of 8,775 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that AIM would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford AIM?

Can you comfortably afford the cost of Artificial Intelligence Masterclass?

This is an important question to answer, because even if you think AIM sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on AIM with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Artificial Intelligence Masterclass?

By far, the easiest way to get the best and biggest discount on this course is to use the Artificial Intelligence Masterclass discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best AIM course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting AIM for a better price, but also with any other Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team Udemy course that you’d like to get for cheaper.

How can Google help you get a AIM discount?

To use this method, do a Google search for the AIM training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Artificial Intelligence Masterclass promo code” or “Artificial Intelligence Masterclass udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s name and see what happens.

For example, you might do a Google search for “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team Udemy coupons” or “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Artificial Intelligence Masterclass coupons” rather than “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team coupons”.

How can a Udemy sale get you AIM for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get AIM for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team decides not to participate in the site wide sale, then you won’t get a discount on AIM, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the AIM course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a AIM discount from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team?

If you’re really serious about getting “Artificial Intelligence Masterclass” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Artificial Intelligence Masterclass. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s mailing list, if you can find it, and then you hope that at some time AIM will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get AIM for free?

Of course, the best possible price for the AIM training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Artificial Intelligence Masterclass free coupon” or “Artificial Intelligence Masterclass 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team has offered free coupons for AIM in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a AIM free download?

It’s important to understand that there’s a difference between getting full access to the AIM training for free legally with a free coupon code vs. finding a way to download AIM illegally.

If you really want to go the download route, you can do a google search for something like “Artificial Intelligence Masterclass download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Artificial Intelligence Masterclass free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 8,775 students enrolled in the program.

Can you get a refund on Artificial Intelligence Masterclass if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the AIM training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on AIM no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the AIM training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing AIM and not liking it, since you can always get your money back.

What is OCP’s overall rating of Artificial Intelligence Masterclass?

During this AIM review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the AIM training, the instructor, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, and reading what other students have said about this program, we give it an overall rating of 4.7 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Artificial Intelligence Masterclass?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about AIM

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what AIM’s online training is all about:

AIM coupon & course info

Course Name: Artificial Intelligence Masterclass

Subtitle: Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models

Instructor: Taught by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

AIM review info & popularity

Prior to July 21, 2024…

Students: 8,775 students enrolled

Ratings: 838 reviews

Rank: ranked #451 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Artificial Intelligence Masterclass is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

AIM final details

Languages: English

Skill level: Beginner

Lectures: 89 lectures lectures lessons

Duration: 12 total hours hours of video

What you get: How to Build an AI

Target audience: Anyone interested in Artificial Intelligence, Deep Learning, or Machine Learning

Requirements: High school mathematics

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off PyTorch for Deep Learning with Python Bootcamp (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

PyTorch for Deep Learning with Python Bootcamp - Udemy Coupon

Get Discount


This is the best Udemy PyTorch for Deep Learning with Python Bootcamp coupon code discount for 2024.

So if you’re interested in Jose Portilla’s “PyTorch for Deep Learning with Python Bootcamp” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

PyTorch for Deep Learning with Python Bootcamp review for 2024

In our review of this course, we try to help you answer all of your most important questions about PyTorch for Deep Learning with Python Bootcamp as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use PFDLWPB as an abbreviation of the course name?

During our PyTorch for Deep Learning with Python Bootcamp course review, you might sometimes see us refer to it as PFDLWPB for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and PFDLWPB is simpler and easier for reviewing purposes

The full course name is 46 characters long, including blanks, while PFDLWPB is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 39 characters every time we use PFDLWPB.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to PFDLWPB throughout the remainder of this review.

Is the PyTorch for Deep Learning with Python Bootcamp course for you?

To determine whether Jose Portilla’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Jose Portilla’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Jose Portilla chose for the course, “PyTorch for Deep Learning with Python Bootcamp”, as well as its subtitle: “Learn how to create state of the art neural networks for deep learning with Facebook’s PyTorch Deep Learning library!”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Jose Portilla is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what PFDLWPB is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Jose Portilla hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what PyTorch for Deep Learning with Python Bootcamp is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Jose Portilla’s official description of PFDLWPB

Welcome to the best online course for learning about Deep Learning with Python and PyTorch!

PyTorch is an open source deep learning platform that provides a seamless path from research prototyping to production deployment. It is rapidly becoming one of the most popular deep learning frameworks for Python. Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.

This course focuses on balancing important theory concepts with practical hands-on exercises and projects that let you learn how to apply the concepts in the course to your own data sets! When you enroll in this course you will get access to carefully laid out notebooks that explain concepts in an easy to understand manner, including both code and explanations side by side. You will also get access to our slides that explain theory through easy to understand visualizations.

(Read more about this course on the official course page.)

Does PFDLWPB pass the 30 Seconds Test?

You can read a lot more about PyTorch for Deep Learning with Python Bootcamp on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Jose Portilla has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did PyTorch for Deep Learning with Python Bootcamp appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with PFDLWPB above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Jose Portilla do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Jose Portilla’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Jose Portilla sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the PFDLWPB course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Jose Portilla’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Jose Portilla, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Jose Portilla’s Udemy bio

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

What did you think about Jose Portilla after reading just the first few lines of the bio above?

After reading just the first few lines about Jose Portilla, did it make you more or less interested in taking the PFDLWPB course?

And did it make you feel like Jose Portilla was more or less credible and qualified to teach PyTorch for Deep Learning with Python Bootcamp?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the PFDLWPB lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the PyTorch for Deep Learning with Python Bootcamp course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the PFDLWPB course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Jose Portilla’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, PyTorch for Deep Learning with Python Bootcamp, as well as the course’s subtitle, Learn how to create state of the art neural networks for deep learning with Facebook’s PyTorch Deep Learning library!.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that PFDLWPB is potentially a good, useful course for you, and you can have more confidence in Jose Portilla’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Jose Portilla that you enjoyed?

Have you already learned something from Jose Portilla that you valued or enjoyed?

For example, does the PyTorch for Deep Learning with Python Bootcamp training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any PFDLWPB lessons for free, have you perhaps watched a YouTube video by Jose Portilla, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Jose Portilla’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Jose Portilla’s teaching methods, and the more you enjoy them, the more likely it is that PyTorch for Deep Learning with Python Bootcamp will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Jose Portilla before purchasing this course, since it’s one of the best ways to determine whether PFDLWPB will be helpful for you.)

Are “PyTorch for Deep Learning with Python Bootcamp” reviews generally positive?

On the bottom of the PFDLWPB page, you can read student reviews of the class.

Prior to July 21, 2024, there were 10,345 students enrolled, 1,455 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate PFDLWPB the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the PFDLWPB reviews to get an overall sense of them. You don’t have to read each one!

Is Jose Portilla responsive to student questions in the PFDLWPB training?

You can see what other students have to say about this in their PFDLWPB reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Jose Portilla a message through this system quite easily, even if you haven’t bought PFDLWPB yet.

For example, you could say, “Hi, and I came across PFDLWPB while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in PyTorch for Deep Learning with Python Bootcamp on your own, online?

This is a big one, because PyTorch for Deep Learning with Python Bootcamp is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking PyTorch for Deep Learning with Python Bootcamp.

Yes, you will be able to interact with the students and the teacher, Jose Portilla, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of PFDLWPB make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the PyTorch for Deep Learning with Python Bootcamp training that looks something like this:

  • The purpose of PFDLWPB can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Jose Portilla is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other PFDLWPB students have great things to say about the program

Other benefits include:

  • You get to go through PFDLWPB at your own pace
  • You join a community of 10,345 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that PFDLWPB would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford PFDLWPB?

Can you comfortably afford the cost of PyTorch for Deep Learning with Python Bootcamp?

This is an important question to answer, because even if you think PFDLWPB sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on PFDLWPB with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on PyTorch for Deep Learning with Python Bootcamp?

By far, the easiest way to get the best and biggest discount on this course is to use the PyTorch for Deep Learning with Python Bootcamp discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Jose Portilla’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best PFDLWPB course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting PFDLWPB for a better price, but also with any other Jose Portilla Udemy course that you’d like to get for cheaper.

How can Google help you get a PFDLWPB discount?

To use this method, do a Google search for the PFDLWPB training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy PyTorch for Deep Learning with Python Bootcamp promo code” or “PyTorch for Deep Learning with Python Bootcamp udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Jose Portilla’s name and see what happens.

For example, you might do a Google search for “Jose Portilla Udemy coupons” or “Jose Portilla course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “PyTorch for Deep Learning with Python Bootcamp coupons” rather than “Jose Portilla coupons”.

How can a Udemy sale get you PFDLWPB for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get PFDLWPB for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Jose Portilla decides not to participate in the site wide sale, then you won’t get a discount on PFDLWPB, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the PFDLWPB course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a PFDLWPB discount from Jose Portilla?

If you’re really serious about getting “PyTorch for Deep Learning with Python Bootcamp” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Jose Portilla, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Jose Portilla’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in PyTorch for Deep Learning with Python Bootcamp. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Jose Portilla’s mailing list, if you can find it, and then you hope that at some time PFDLWPB will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get PFDLWPB for free?

Of course, the best possible price for the PFDLWPB training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Jose Portilla has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “PyTorch for Deep Learning with Python Bootcamp free coupon” or “PyTorch for Deep Learning with Python Bootcamp 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Jose Portilla has offered free coupons for PFDLWPB in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a PFDLWPB free download?

It’s important to understand that there’s a difference between getting full access to the PFDLWPB training for free legally with a free coupon code vs. finding a way to download PFDLWPB illegally.

If you really want to go the download route, you can do a google search for something like “PyTorch for Deep Learning with Python Bootcamp download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “PyTorch for Deep Learning with Python Bootcamp free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Jose Portilla created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 10,345 students enrolled in the program.

Can you get a refund on PyTorch for Deep Learning with Python Bootcamp if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the PFDLWPB training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Jose Portilla’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on PFDLWPB no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the PFDLWPB training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Jose Portilla could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing PFDLWPB and not liking it, since you can always get your money back.

What is OCP’s overall rating of PyTorch for Deep Learning with Python Bootcamp?

During this PFDLWPB review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the PFDLWPB training, the instructor, Jose Portilla, and reading what other students have said about this program, we give it an overall rating of 4.7 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to PyTorch for Deep Learning with Python Bootcamp?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about PFDLWPB

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what PFDLWPB’s online training is all about:

PFDLWPB coupon & course info

Course Name: PyTorch for Deep Learning with Python Bootcamp

Subtitle: Learn how to create state of the art neural networks for deep learning with Facebook’s PyTorch Deep Learning library!

Instructor: Taught by Jose Portilla

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

PFDLWPB review info & popularity

Prior to July 21, 2024…

Students: 10,345 students enrolled

Ratings: 1,455 reviews

Rank: ranked #759 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if PyTorch for Deep Learning with Python Bootcamp is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

PFDLWPB final details

Languages: English

Skill level: All Levels

Lectures: 97 lectures lectures lessons

Duration: 17 total hours hours of video

What you get: Learn how to use NumPy to format data into arrays

Target audience: Intermediate to Advanced Python Developers wanting to learn about Deep Learning with PyTorch

Requirements: Understanding of Python Basic Topics (data types,loops,functions) also Python OOP recommended

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Complete Tensorflow 2 and Keras Deep Learning Bootcamp (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Complete Tensorflow 2 and Keras Deep Learning Bootcamp - Udemy Coupon

Get Discount


This is the best Udemy Complete Tensorflow 2 and Keras Deep Learning Bootcamp coupon code discount for 2024.

So if you’re interested in Jose Portilla’s “Complete Tensorflow 2 and Keras Deep Learning Bootcamp” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Complete Tensorflow 2 and Keras Deep Learning Bootcamp review for 2024

In our review of this course, we try to help you answer all of your most important questions about Complete Tensorflow 2 and Keras Deep Learning Bootcamp as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use CT2AKDLB as an abbreviation of the course name?

During our Complete Tensorflow 2 and Keras Deep Learning Bootcamp course review, you might sometimes see us refer to it as CT2AKDLB for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and CT2AKDLB is simpler and easier for reviewing purposes

The full course name is 54 characters long, including blanks, while CT2AKDLB is 8 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 46 characters every time we use CT2AKDLB.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to CT2AKDLB throughout the remainder of this review.

Is the Complete Tensorflow 2 and Keras Deep Learning Bootcamp course for you?

To determine whether Jose Portilla’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Jose Portilla’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Jose Portilla chose for the course, “Complete Tensorflow 2 and Keras Deep Learning Bootcamp”, as well as its subtitle: “Learn to use Python for Deep Learning with Google’s latest Tensorflow 2 library and Keras!”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Jose Portilla is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what CT2AKDLB is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Jose Portilla hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Complete Tensorflow 2 and Keras Deep Learning Bootcamp is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Jose Portilla’s official description of CT2AKDLB

This course will guide you through how to use Google’s latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow 2 framework in a way that is easy to understand.

We’ll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0’s official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!

This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!

(Read more about this course on the official course page.)

Does CT2AKDLB pass the 30 Seconds Test?

You can read a lot more about Complete Tensorflow 2 and Keras Deep Learning Bootcamp on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Jose Portilla has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Complete Tensorflow 2 and Keras Deep Learning Bootcamp appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with CT2AKDLB above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Jose Portilla do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Jose Portilla’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Jose Portilla sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the CT2AKDLB course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Jose Portilla’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Jose Portilla, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Jose Portilla’s Udemy bio

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

What did you think about Jose Portilla after reading just the first few lines of the bio above?

After reading just the first few lines about Jose Portilla, did it make you more or less interested in taking the CT2AKDLB course?

And did it make you feel like Jose Portilla was more or less credible and qualified to teach Complete Tensorflow 2 and Keras Deep Learning Bootcamp?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the CT2AKDLB lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Complete Tensorflow 2 and Keras Deep Learning Bootcamp course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the CT2AKDLB course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Jose Portilla’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Complete Tensorflow 2 and Keras Deep Learning Bootcamp, as well as the course’s subtitle, Learn to use Python for Deep Learning with Google’s latest Tensorflow 2 library and Keras!.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that CT2AKDLB is potentially a good, useful course for you, and you can have more confidence in Jose Portilla’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Jose Portilla that you enjoyed?

Have you already learned something from Jose Portilla that you valued or enjoyed?

For example, does the Complete Tensorflow 2 and Keras Deep Learning Bootcamp training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any CT2AKDLB lessons for free, have you perhaps watched a YouTube video by Jose Portilla, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Jose Portilla’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Jose Portilla’s teaching methods, and the more you enjoy them, the more likely it is that Complete Tensorflow 2 and Keras Deep Learning Bootcamp will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Jose Portilla before purchasing this course, since it’s one of the best ways to determine whether CT2AKDLB will be helpful for you.)

Are “Complete Tensorflow 2 and Keras Deep Learning Bootcamp” reviews generally positive?

On the bottom of the CT2AKDLB page, you can read student reviews of the class.

Prior to July 21, 2024, there were 19,644 students enrolled, 3,126 reviews / ratings, and it was overall rated 4.7 out of 5.

Obviously, the more highly other students rate CT2AKDLB the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the CT2AKDLB reviews to get an overall sense of them. You don’t have to read each one!

Is Jose Portilla responsive to student questions in the CT2AKDLB training?

You can see what other students have to say about this in their CT2AKDLB reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Jose Portilla a message through this system quite easily, even if you haven’t bought CT2AKDLB yet.

For example, you could say, “Hi, and I came across CT2AKDLB while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Complete Tensorflow 2 and Keras Deep Learning Bootcamp on your own, online?

This is a big one, because Complete Tensorflow 2 and Keras Deep Learning Bootcamp is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Complete Tensorflow 2 and Keras Deep Learning Bootcamp.

Yes, you will be able to interact with the students and the teacher, Jose Portilla, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of CT2AKDLB make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Complete Tensorflow 2 and Keras Deep Learning Bootcamp training that looks something like this:

  • The purpose of CT2AKDLB can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Jose Portilla is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other CT2AKDLB students have great things to say about the program

Other benefits include:

  • You get to go through CT2AKDLB at your own pace
  • You join a community of 19,644 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that CT2AKDLB would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford CT2AKDLB?

Can you comfortably afford the cost of Complete Tensorflow 2 and Keras Deep Learning Bootcamp?

This is an important question to answer, because even if you think CT2AKDLB sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on CT2AKDLB with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Complete Tensorflow 2 and Keras Deep Learning Bootcamp?

By far, the easiest way to get the best and biggest discount on this course is to use the Complete Tensorflow 2 and Keras Deep Learning Bootcamp discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Jose Portilla’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best CT2AKDLB course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting CT2AKDLB for a better price, but also with any other Jose Portilla Udemy course that you’d like to get for cheaper.

How can Google help you get a CT2AKDLB discount?

To use this method, do a Google search for the CT2AKDLB training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Complete Tensorflow 2 and Keras Deep Learning Bootcamp promo code” or “Complete Tensorflow 2 and Keras Deep Learning Bootcamp udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Jose Portilla’s name and see what happens.

For example, you might do a Google search for “Jose Portilla Udemy coupons” or “Jose Portilla course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Complete Tensorflow 2 and Keras Deep Learning Bootcamp coupons” rather than “Jose Portilla coupons”.

How can a Udemy sale get you CT2AKDLB for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get CT2AKDLB for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Jose Portilla decides not to participate in the site wide sale, then you won’t get a discount on CT2AKDLB, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the CT2AKDLB course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a CT2AKDLB discount from Jose Portilla?

If you’re really serious about getting “Complete Tensorflow 2 and Keras Deep Learning Bootcamp” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Jose Portilla, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Jose Portilla’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Complete Tensorflow 2 and Keras Deep Learning Bootcamp. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Jose Portilla’s mailing list, if you can find it, and then you hope that at some time CT2AKDLB will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get CT2AKDLB for free?

Of course, the best possible price for the CT2AKDLB training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Jose Portilla has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Complete Tensorflow 2 and Keras Deep Learning Bootcamp free coupon” or “Complete Tensorflow 2 and Keras Deep Learning Bootcamp 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Jose Portilla has offered free coupons for CT2AKDLB in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a CT2AKDLB free download?

It’s important to understand that there’s a difference between getting full access to the CT2AKDLB training for free legally with a free coupon code vs. finding a way to download CT2AKDLB illegally.

If you really want to go the download route, you can do a google search for something like “Complete Tensorflow 2 and Keras Deep Learning Bootcamp download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Complete Tensorflow 2 and Keras Deep Learning Bootcamp free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Jose Portilla created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 19,644 students enrolled in the program.

Can you get a refund on Complete Tensorflow 2 and Keras Deep Learning Bootcamp if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the CT2AKDLB training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Jose Portilla’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on CT2AKDLB no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the CT2AKDLB training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Jose Portilla could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing CT2AKDLB and not liking it, since you can always get your money back.

What is OCP’s overall rating of Complete Tensorflow 2 and Keras Deep Learning Bootcamp?

During this CT2AKDLB review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the CT2AKDLB training, the instructor, Jose Portilla, and reading what other students have said about this program, we give it an overall rating of 4.9 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Complete Tensorflow 2 and Keras Deep Learning Bootcamp?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about CT2AKDLB

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what CT2AKDLB’s online training is all about:

CT2AKDLB coupon & course info

Course Name: Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Subtitle: Learn to use Python for Deep Learning with Google’s latest Tensorflow 2 library and Keras!

Instructor: Taught by Jose Portilla

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

CT2AKDLB review info & popularity

Prior to July 21, 2024…

Students: 19,644 students enrolled

Ratings: 3,126 reviews

Rank: ranked #1552 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Complete Tensorflow 2 and Keras Deep Learning Bootcamp is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

CT2AKDLB final details

Languages: English

Skill level: All Levels

Lectures: 116 lectures lectures lessons

Duration: 19 total hours hours of video

What you get: Learn to use TensorFlow 2.0 for Deep Learning

Target audience: Python developers interested in learning about TensorFlow 2 for deep learning and artificial intelligence

Requirements: Know how to code in Python

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Python for Statistical Analysis (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Python for Statistical Analysis - Udemy Coupon

Get Discount


This is the best Udemy Python for Statistical Analysis coupon code discount for 2024.

So if you’re interested in Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s “Python for Statistical Analysis” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Python for Statistical Analysis review for 2024

In our review of this course, we try to help you answer all of your most important questions about Python for Statistical Analysis as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use PFSA as an abbreviation of the course name?

During our Python for Statistical Analysis course review, you might sometimes see us refer to it as PFSA for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and PFSA is simpler and easier for reviewing purposes

The full course name is 31 characters long, including blanks, while PFSA is 4 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 27 characters every time we use PFSA.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to PFSA throughout the remainder of this review.

Is the Python for Statistical Analysis course for you?

To determine whether Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team chose for the course, “Python for Statistical Analysis”, as well as its subtitle: “Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what PFSA is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Python for Statistical Analysis is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s official description of PFSA

Welcome to Python for Statistical Analysis!

This course is designed to position you for success by diving into the real-world of statistics and data science.

(Read more about this course on the official course page.)

Does PFSA pass the 30 Seconds Test?

You can read a lot more about Python for Statistical Analysis on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Python for Statistical Analysis appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with PFSA above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the PFSA course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s Udemy bio

Hi, I’m Sam and I’m an astrophysicist, data scientist, robotics and software engineer, astronomer and public presenter.

What did you think about Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team after reading just the first few lines of the bio above?

After reading just the first few lines about Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, did it make you more or less interested in taking the PFSA course?

And did it make you feel like Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team was more or less credible and qualified to teach Python for Statistical Analysis?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the PFSA lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Python for Statistical Analysis course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the PFSA course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Python for Statistical Analysis, as well as the course’s subtitle, Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that PFSA is potentially a good, useful course for you, and you can have more confidence in Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team that you enjoyed?

Have you already learned something from Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team that you valued or enjoyed?

For example, does the Python for Statistical Analysis training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any PFSA lessons for free, have you perhaps watched a YouTube video by Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s teaching methods, and the more you enjoy them, the more likely it is that Python for Statistical Analysis will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team before purchasing this course, since it’s one of the best ways to determine whether PFSA will be helpful for you.)

Are “Python for Statistical Analysis” reviews generally positive?

On the bottom of the PFSA page, you can read student reviews of the class.

Prior to July 21, 2024, there were 47,816 students enrolled, 1,499 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate PFSA the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the PFSA reviews to get an overall sense of them. You don’t have to read each one!

Is Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team responsive to student questions in the PFSA training?

You can see what other students have to say about this in their PFSA reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team a message through this system quite easily, even if you haven’t bought PFSA yet.

For example, you could say, “Hi, and I came across PFSA while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Python for Statistical Analysis on your own, online?

This is a big one, because Python for Statistical Analysis is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Python for Statistical Analysis.

Yes, you will be able to interact with the students and the teacher, Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of PFSA make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Python for Statistical Analysis training that looks something like this:

  • The purpose of PFSA can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other PFSA students have great things to say about the program

Other benefits include:

  • You get to go through PFSA at your own pace
  • You join a community of 47,816 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that PFSA would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford PFSA?

Can you comfortably afford the cost of Python for Statistical Analysis?

This is an important question to answer, because even if you think PFSA sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on PFSA with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Python for Statistical Analysis?

By far, the easiest way to get the best and biggest discount on this course is to use the Python for Statistical Analysis discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best PFSA course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting PFSA for a better price, but also with any other Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team Udemy course that you’d like to get for cheaper.

How can Google help you get a PFSA discount?

To use this method, do a Google search for the PFSA training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Python for Statistical Analysis promo code” or “Python for Statistical Analysis udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s name and see what happens.

For example, you might do a Google search for “Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team Udemy coupons” or “Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Python for Statistical Analysis coupons” rather than “Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team coupons”.

How can a Udemy sale get you PFSA for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get PFSA for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team decides not to participate in the site wide sale, then you won’t get a discount on PFSA, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the PFSA course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a PFSA discount from Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team?

If you’re really serious about getting “Python for Statistical Analysis” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Python for Statistical Analysis. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s mailing list, if you can find it, and then you hope that at some time PFSA will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get PFSA for free?

Of course, the best possible price for the PFSA training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Python for Statistical Analysis free coupon” or “Python for Statistical Analysis 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has offered free coupons for PFSA in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a PFSA free download?

It’s important to understand that there’s a difference between getting full access to the PFSA training for free legally with a free coupon code vs. finding a way to download PFSA illegally.

If you really want to go the download route, you can do a google search for something like “Python for Statistical Analysis download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Python for Statistical Analysis free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 47,816 students enrolled in the program.

Can you get a refund on Python for Statistical Analysis if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the PFSA training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on PFSA no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the PFSA training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing PFSA and not liking it, since you can always get your money back.

What is OCP’s overall rating of Python for Statistical Analysis?

During this PFSA review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the PFSA training, the instructor, Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, and reading what other students have said about this program, we give it an overall rating of 4.7 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Python for Statistical Analysis?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about PFSA

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what PFSA’s online training is all about:

PFSA coupon & course info

Course Name: Python for Statistical Analysis

Subtitle: Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries

Instructor: Taught by Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

PFSA review info & popularity

Prior to July 21, 2024…

Students: 47,816 students enrolled

Ratings: 1,499 reviews

Rank: ranked #478 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Python for Statistical Analysis is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

PFSA final details

Languages: English

Skill level: Beginner

Lectures: 56 lectures lectures lessons

Duration: 8.5 total hours hours of video

What you get: Gain deeper insights into data

Target audience: Data Scientists who want to add to their skillset statistical analysis

Requirements: Python basics

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Complete Linear Regression Analysis in Python (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Complete Linear Regression Analysis in Python - Udemy Coupon

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This is the best Udemy Complete Linear Regression Analysis in Python coupon code discount for 2024.

So if you’re interested in Start-Tech Academy’s “Complete Linear Regression Analysis in Python” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Complete Linear Regression Analysis in Python review for 2024

In our review of this course, we try to help you answer all of your most important questions about Complete Linear Regression Analysis in Python as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use CLRAIP as an abbreviation of the course name?

During our Complete Linear Regression Analysis in Python course review, you might sometimes see us refer to it as CLRAIP for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and CLRAIP is simpler and easier for reviewing purposes

The full course name is 45 characters long, including blanks, while CLRAIP is 6 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 39 characters every time we use CLRAIP.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to CLRAIP throughout the remainder of this review.

Is the Complete Linear Regression Analysis in Python course for you?

To determine whether Start-Tech Academy’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Start-Tech Academy’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Start-Tech Academy chose for the course, “Complete Linear Regression Analysis in Python”, as well as its subtitle: “Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Start-Tech Academy is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what CLRAIP is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Start-Tech Academy hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Complete Linear Regression Analysis in Python is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Start-Tech Academy’s official description of CLRAIP

You’re looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Python, right?

You’ve found the right Linear Regression course!

After completing this course you will be able to:

(Read more about this course on the official course page.)

Does CLRAIP pass the 30 Seconds Test?

You can read a lot more about Complete Linear Regression Analysis in Python on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Start-Tech Academy has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Complete Linear Regression Analysis in Python appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with CLRAIP above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Start-Tech Academy do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Start-Tech Academy’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Start-Tech Academy sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the CLRAIP course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Start-Tech Academy’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Start-Tech Academy, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Start-Tech Academy’s Udemy bio

Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.  Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey.

What did you think about Start-Tech Academy after reading just the first few lines of the bio above?

After reading just the first few lines about Start-Tech Academy, did it make you more or less interested in taking the CLRAIP course?

And did it make you feel like Start-Tech Academy was more or less credible and qualified to teach Complete Linear Regression Analysis in Python?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the CLRAIP lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Complete Linear Regression Analysis in Python course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the CLRAIP course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Start-Tech Academy’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Complete Linear Regression Analysis in Python, as well as the course’s subtitle, Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that CLRAIP is potentially a good, useful course for you, and you can have more confidence in Start-Tech Academy’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Start-Tech Academy that you enjoyed?

Have you already learned something from Start-Tech Academy that you valued or enjoyed?

For example, does the Complete Linear Regression Analysis in Python training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any CLRAIP lessons for free, have you perhaps watched a YouTube video by Start-Tech Academy, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Start-Tech Academy’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Start-Tech Academy’s teaching methods, and the more you enjoy them, the more likely it is that Complete Linear Regression Analysis in Python will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Start-Tech Academy before purchasing this course, since it’s one of the best ways to determine whether CLRAIP will be helpful for you.)

Are “Complete Linear Regression Analysis in Python” reviews generally positive?

On the bottom of the CLRAIP page, you can read student reviews of the class.

Prior to July 21, 2024, there were 106,349 students enrolled, 820 reviews / ratings, and it was overall rated 4.3 out of 5.

Obviously, the more highly other students rate CLRAIP the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the CLRAIP reviews to get an overall sense of them. You don’t have to read each one!

Is Start-Tech Academy responsive to student questions in the CLRAIP training?

You can see what other students have to say about this in their CLRAIP reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Start-Tech Academy a message through this system quite easily, even if you haven’t bought CLRAIP yet.

For example, you could say, “Hi, and I came across CLRAIP while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Complete Linear Regression Analysis in Python on your own, online?

This is a big one, because Complete Linear Regression Analysis in Python is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Complete Linear Regression Analysis in Python.

Yes, you will be able to interact with the students and the teacher, Start-Tech Academy, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of CLRAIP make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Complete Linear Regression Analysis in Python training that looks something like this:

  • The purpose of CLRAIP can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Start-Tech Academy is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other CLRAIP students have great things to say about the program

Other benefits include:

  • You get to go through CLRAIP at your own pace
  • You join a community of 106,349 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that CLRAIP would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford CLRAIP?

Can you comfortably afford the cost of Complete Linear Regression Analysis in Python?

This is an important question to answer, because even if you think CLRAIP sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before July 21, 2024, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on CLRAIP with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Complete Linear Regression Analysis in Python?

By far, the easiest way to get the best and biggest discount on this course is to use the Complete Linear Regression Analysis in Python discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Start-Tech Academy’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best CLRAIP course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting CLRAIP for a better price, but also with any other Start-Tech Academy Udemy course that you’d like to get for cheaper.

How can Google help you get a CLRAIP discount?

To use this method, do a Google search for the CLRAIP training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Complete Linear Regression Analysis in Python promo code” or “Complete Linear Regression Analysis in Python udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Start-Tech Academy’s name and see what happens.

For example, you might do a Google search for “Start-Tech Academy Udemy coupons” or “Start-Tech Academy course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Complete Linear Regression Analysis in Python coupons” rather than “Start-Tech Academy coupons”.

How can a Udemy sale get you CLRAIP for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get CLRAIP for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Start-Tech Academy decides not to participate in the site wide sale, then you won’t get a discount on CLRAIP, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the CLRAIP course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a CLRAIP discount from Start-Tech Academy?

If you’re really serious about getting “Complete Linear Regression Analysis in Python” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Start-Tech Academy, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Start-Tech Academy’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Complete Linear Regression Analysis in Python. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Start-Tech Academy’s mailing list, if you can find it, and then you hope that at some time CLRAIP will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get CLRAIP for free?

Of course, the best possible price for the CLRAIP training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Start-Tech Academy has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Complete Linear Regression Analysis in Python free coupon” or “Complete Linear Regression Analysis in Python 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Start-Tech Academy has offered free coupons for CLRAIP in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a CLRAIP free download?

It’s important to understand that there’s a difference between getting full access to the CLRAIP training for free legally with a free coupon code vs. finding a way to download CLRAIP illegally.

If you really want to go the download route, you can do a google search for something like “Complete Linear Regression Analysis in Python download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Complete Linear Regression Analysis in Python free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Start-Tech Academy created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 106,349 students enrolled in the program.

Can you get a refund on Complete Linear Regression Analysis in Python if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the CLRAIP training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Start-Tech Academy’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on CLRAIP no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the CLRAIP training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Start-Tech Academy could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing CLRAIP and not liking it, since you can always get your money back.

What is OCP’s overall rating of Complete Linear Regression Analysis in Python?

During this CLRAIP review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the CLRAIP training, the instructor, Start-Tech Academy, and reading what other students have said about this program, we give it an overall rating of 4.5 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Complete Linear Regression Analysis in Python?

If you like this course, you might also be interested in:


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3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

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4. An Introduction to Reliability Engineering

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5. The Complete Google Ads Masterclass (Former Google AdWords)

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TLDR: Just the quick facts about CLRAIP

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what CLRAIP’s online training is all about:

CLRAIP coupon & course info

Course Name: Complete Linear Regression Analysis in Python

Subtitle: Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also

Instructor: Taught by Start-Tech Academy

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

CLRAIP review info & popularity

Prior to July 21, 2024…

Students: 106,349 students enrolled

Ratings: 820 reviews

Rank: ranked #631 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Complete Linear Regression Analysis in Python is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

CLRAIP final details

Languages: English

Skill level: All Levels

Lectures: 69 lectures lectures lessons

Duration: 7.5 total hours hours of video

What you get: Learn how to solve real life problem using the Linear Regression technique

Target audience: People pursuing a career in data science

Requirements: Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons