95% off Artificial Intelligence Masterclass (Coupon & Review)

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Artificial Intelligence Masterclass - Udemy Coupon

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This is the best Udemy Artificial Intelligence Masterclass coupon code discount for 2020.

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 2020

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 October 21, 2020, 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 October 21, 2020, 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 October 21, 2020…

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 2020.

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 2020

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 October 21, 2020, 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 October 21, 2020, 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 October 21, 2020…

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 2020.

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 2020

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 October 21, 2020, 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 October 21, 2020, 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 October 21, 2020…

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 2020.

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 2020

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 October 21, 2020, 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 October 21, 2020, 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 October 21, 2020…

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 2020.

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 2020

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 October 21, 2020, 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 October 21, 2020, 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:


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 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 October 21, 2020…

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

95% off R Programming: Advanced Analytics In R For Data Science (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!

R Programming: Advanced Analytics In R For Data Science - Udemy Coupon

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This is the best Udemy R Programming: Advanced Analytics In R For Data Science coupon code discount for 2020.

So if you’re interested in Kirill Eremenko, SuperDataScience Team’s “R Programming: Advanced Analytics In R For Data Science” 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.)

R Programming: Advanced Analytics In R For Data Science review for 2020

In our review of this course, we try to help you answer all of your most important questions about R Programming: Advanced Analytics In R For Data Science 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 RPAAIRFDS as an abbreviation of the course name?

During our R Programming: Advanced Analytics In R For Data Science course review, you might sometimes see us refer to it as RPAAIRFDS 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 RPAAIRFDS is simpler and easier for reviewing purposes

The full course name is 55 characters long, including blanks, while RPAAIRFDS is 9 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 46 characters every time we use RPAAIRFDS.

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 RPAAIRFDS throughout the remainder of this review.

Is the R Programming: Advanced Analytics In R For Data Science course for you?

To determine whether 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 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 Kirill Eremenko, SuperDataScience Team chose for the course, “R Programming: Advanced Analytics In R For Data Science”, as well as its subtitle: “Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2”.

This combo of title and subtitle should be enough to communicate the purpose of the training if 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 RPAAIRFDS 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 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 R Programming: Advanced Analytics In R For Data Science 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 Kirill Eremenko, SuperDataScience Team’s official description of RPAAIRFDS

Ready to take your R Programming skills to the next level?

Want to truly become proficient at Data Science and Analytics with R?

This course is for you!

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

Does RPAAIRFDS pass the 30 Seconds Test?

You can read a lot more about R Programming: Advanced Analytics In R For Data Science 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, 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 R Programming: Advanced Analytics In R For Data Science appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with RPAAIRFDS 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 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, 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 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 RPAAIRFDS 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, 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 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 Kirill Eremenko, SuperDataScience Team’s Udemy bio

My name is Kirill Eremenko and I am super-psyched that you are reading this!

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

After reading just the first few lines about Kirill Eremenko, SuperDataScience Team, did it make you more or less interested in taking the RPAAIRFDS course?

And did it make you feel like Kirill Eremenko, SuperDataScience Team was more or less credible and qualified to teach R Programming: Advanced Analytics In R For Data Science?

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 RPAAIRFDS lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the R Programming: Advanced Analytics In R For Data Science 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 RPAAIRFDS 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 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, R Programming: Advanced Analytics In R For Data Science, as well as the course’s subtitle, Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that RPAAIRFDS is potentially a good, useful course for you, and you can have more confidence in 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 Kirill Eremenko, SuperDataScience Team that you enjoyed?

Have you already learned something from Kirill Eremenko, SuperDataScience Team that you valued or enjoyed?

For example, does the R Programming: Advanced Analytics In R For Data Science 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 RPAAIRFDS lessons for free, have you perhaps watched a YouTube video by 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 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 Kirill Eremenko, SuperDataScience Team’s teaching methods, and the more you enjoy them, the more likely it is that R Programming: Advanced Analytics In R For Data Science will be a good fit for you.

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

Are “R Programming: Advanced Analytics In R For Data Science” reviews generally positive?

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

Prior to October 21, 2020, there were 45,526 students enrolled, 6,227 reviews / ratings, and it was overall rated 4.7 out of 5.

Obviously, the more highly other students rate RPAAIRFDS 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 RPAAIRFDS reviews to get an overall sense of them. You don’t have to read each one!

Is Kirill Eremenko, SuperDataScience Team responsive to student questions in the RPAAIRFDS training?

You can see what other students have to say about this in their RPAAIRFDS 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 Kirill Eremenko, SuperDataScience Team a message through this system quite easily, even if you haven’t bought RPAAIRFDS yet.

For example, you could say, “Hi, and I came across RPAAIRFDS 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 R Programming: Advanced Analytics In R For Data Science on your own, online?

This is a big one, because R Programming: Advanced Analytics In R For Data Science 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 R Programming: Advanced Analytics In R For Data Science.

Yes, you will be able to interact with the students and the teacher, 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 RPAAIRFDS make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the R Programming: Advanced Analytics In R For Data Science training that looks something like this:

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

Other benefits include:

  • You get to go through RPAAIRFDS at your own pace
  • You join a community of 45,526 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 RPAAIRFDS would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford RPAAIRFDS?

Can you comfortably afford the cost of R Programming: Advanced Analytics In R For Data Science?

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

Before October 21, 2020, 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 RPAAIRFDS 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 R Programming: Advanced Analytics In R For Data Science?

By far, the easiest way to get the best and biggest discount on this course is to use the R Programming: Advanced Analytics In R For Data Science discount code link at the top of this page.

It will instantly give you the best coupon code we could find for 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 RPAAIRFDS course coupons and promo codes you can find.

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

How can Google help you get a RPAAIRFDS discount?

To use this method, do a Google search for the RPAAIRFDS 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 R Programming: Advanced Analytics In R For Data Science promo code” or “R Programming: Advanced Analytics In R For Data Science udemy coupon codes” and see what turns up.

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

For example, you might do a Google search for “Kirill Eremenko, SuperDataScience Team Udemy coupons” or “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 “R Programming: Advanced Analytics In R For Data Science coupons” rather than “Kirill Eremenko, SuperDataScience Team coupons”.

How can a Udemy sale get you RPAAIRFDS 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 RPAAIRFDS 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 Kirill Eremenko, SuperDataScience Team decides not to participate in the site wide sale, then you won’t get a discount on RPAAIRFDS, 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 RPAAIRFDS 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 RPAAIRFDS discount from Kirill Eremenko, SuperDataScience Team?

If you’re really serious about getting “R Programming: Advanced Analytics In R For Data Science” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from 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 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 R Programming: Advanced Analytics In R For Data Science. 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 Kirill Eremenko, SuperDataScience Team’s mailing list, if you can find it, and then you hope that at some time RPAAIRFDS 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 RPAAIRFDS for free?

Of course, the best possible price for the RPAAIRFDS 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 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 “R Programming: Advanced Analytics In R For Data Science free coupon” or “R Programming: Advanced Analytics In R For Data Science 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 Kirill Eremenko, SuperDataScience Team has offered free coupons for RPAAIRFDS 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 RPAAIRFDS free download?

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

If you really want to go the download route, you can do a google search for something like “R Programming: Advanced Analytics In R For Data Science 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 “R Programming: Advanced Analytics In R For Data Science 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, 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 45,526 students enrolled in the program.

Can you get a refund on R Programming: Advanced Analytics In R For Data Science if you don’t like it?

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

Then, you actually dive into 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 RPAAIRFDS no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the RPAAIRFDS training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing 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 RPAAIRFDS and not liking it, since you can always get your money back.

What is OCP’s overall rating of R Programming: Advanced Analytics In R For Data Science?

During this RPAAIRFDS 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 RPAAIRFDS training, the instructor, Kirill Eremenko, SuperDataScience Team, 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 R Programming: Advanced Analytics In R For Data Science?

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 RPAAIRFDS

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

RPAAIRFDS coupon & course info

Course Name: R Programming: Advanced Analytics In R For Data Science

Subtitle: Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2

Instructor: Taught by 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)

RPAAIRFDS review info & popularity

Prior to October 21, 2020…

Students: 45,526 students enrolled

Ratings: 6,227 reviews

Rank: ranked #279 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if R Programming: Advanced Analytics In R For Data Science 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

RPAAIRFDS final details

Languages: English

Skill level: Intermediate

Lectures: 53 lectures lectures lessons

Duration: 6 total hours hours of video

What you get: Perform Data Preparation in R

Target audience: Anybody who has basic R knowledge and would like to take their skills to the next level

Requirements: Basic knowledge of R

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 Machine Learning with R Studio – ML for 2020 (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 Complete Machine Learning with R Studio – ML for 2020 coupon code discount for 2020.

So if you’re interested in Start-Tech Academy’s “Complete Machine Learning with R Studio – ML for 2020” 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 with R Studio – ML for 2020 review for 2020

In our review of this course, we try to help you answer all of your most important questions about Complete Machine Learning with R Studio – ML for 2020 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 CMLWRS-MF2 as an abbreviation of the course name?

During our Complete Machine Learning with R Studio – ML for 2020 course review, you might sometimes see us refer to it as CMLWRS-MF2 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 CMLWRS-MF2 is simpler and easier for reviewing purposes

The full course name is 53 characters long, including blanks, while CMLWRS-MF2 is 10 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 43 characters every time we use CMLWRS-MF2.

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 CMLWRS-MF2 throughout the remainder of this review.

Is the Complete Machine Learning with R Studio – ML for 2020 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 Machine Learning with R Studio – ML for 2020”, as well as its subtitle: “Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language – R studio”.

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 CMLWRS-MF2 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 Machine Learning with R Studio – ML for 2020 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 CMLWRS-MF2

You’re looking for a complete Machine Learning course that can help you launch a flourishing career in the field of Data Science & Machine Learning, right?

You’ve found the right Machine Learning course!

After completing this course you will be able to:

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

Does CMLWRS-MF2 pass the 30 Seconds Test?

You can read a lot more about Complete Machine Learning with R Studio – ML for 2020 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 Machine Learning with R Studio – ML for 2020 appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with CMLWRS-MF2 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 CMLWRS-MF2 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 CMLWRS-MF2 course?

And did it make you feel like Start-Tech Academy was more or less credible and qualified to teach Complete Machine Learning with R Studio – ML for 2020?

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 CMLWRS-MF2 lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Complete Machine Learning with R Studio – ML for 2020 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 CMLWRS-MF2 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 Machine Learning with R Studio – ML for 2020, as well as the course’s subtitle, Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language – R studio.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that CMLWRS-MF2 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 Machine Learning with R Studio – ML for 2020 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 CMLWRS-MF2 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 Machine Learning with R Studio – ML for 2020 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 CMLWRS-MF2 will be helpful for you.)

Are “Complete Machine Learning with R Studio – ML for 2020” reviews generally positive?

On the bottom of the CMLWRS-MF2 page, you can read student reviews of the class.

Prior to October 21, 2020, there were 101,014 students enrolled, 860 reviews / ratings, and it was overall rated 4.2 out of 5.

Obviously, the more highly other students rate CMLWRS-MF2 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 CMLWRS-MF2 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 CMLWRS-MF2 training?

You can see what other students have to say about this in their CMLWRS-MF2 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 CMLWRS-MF2 yet.

For example, you could say, “Hi, and I came across CMLWRS-MF2 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 with R Studio – ML for 2020 on your own, online?

This is a big one, because Complete Machine Learning with R Studio – ML for 2020 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 with R Studio – ML for 2020.

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 CMLWRS-MF2 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 with R Studio – ML for 2020 training that looks something like this:

  • The purpose of CMLWRS-MF2 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 CMLWRS-MF2 students have great things to say about the program

Other benefits include:

  • You get to go through CMLWRS-MF2 at your own pace
  • You join a community of 101,014 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 CMLWRS-MF2 would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford CMLWRS-MF2?

Can you comfortably afford the cost of Complete Machine Learning with R Studio – ML for 2020?

This is an important question to answer, because even if you think CMLWRS-MF2 sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 21, 2020, 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 CMLWRS-MF2 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 with R Studio – ML for 2020?

By far, the easiest way to get the best and biggest discount on this course is to use the Complete Machine Learning with R Studio – ML for 2020 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 CMLWRS-MF2 course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting CMLWRS-MF2 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 CMLWRS-MF2 discount?

To use this method, do a Google search for the CMLWRS-MF2 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 with R Studio – ML for 2020 promo code” or “Complete Machine Learning with R Studio – ML for 2020 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 Machine Learning with R Studio – ML for 2020 coupons” rather than “Start-Tech Academy coupons”.

How can a Udemy sale get you CMLWRS-MF2 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 CMLWRS-MF2 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 CMLWRS-MF2, 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 CMLWRS-MF2 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 CMLWRS-MF2 discount from Start-Tech Academy?

If you’re really serious about getting “Complete Machine Learning with R Studio – ML for 2020” 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 Machine Learning with R Studio – ML for 2020. 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 CMLWRS-MF2 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 CMLWRS-MF2 for free?

Of course, the best possible price for the CMLWRS-MF2 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 Machine Learning with R Studio – ML for 2020 free coupon” or “Complete Machine Learning with R Studio – ML for 2020 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 CMLWRS-MF2 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 CMLWRS-MF2 free download?

It’s important to understand that there’s a difference between getting full access to the CMLWRS-MF2 training for free legally with a free coupon code vs. finding a way to download CMLWRS-MF2 illegally.

If you really want to go the download route, you can do a google search for something like “Complete Machine Learning with R Studio – ML for 2020 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 with R Studio – ML for 2020 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 101,014 students enrolled in the program.

Can you get a refund on Complete Machine Learning with R Studio – ML for 2020 if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the CMLWRS-MF2 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 CMLWRS-MF2 no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the CMLWRS-MF2 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 CMLWRS-MF2 and not liking it, since you can always get your money back.

What is OCP’s overall rating of Complete Machine Learning with R Studio – ML for 2020?

During this CMLWRS-MF2 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 CMLWRS-MF2 training, the instructor, Start-Tech Academy, 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 Complete Machine Learning with R Studio – ML for 2020?

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 CMLWRS-MF2

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what CMLWRS-MF2’s online training is all about:

CMLWRS-MF2 coupon & course info

Course Name: Complete Machine Learning with R Studio – ML for 2020

Subtitle: Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language – R studio

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)

CMLWRS-MF2 review info & popularity

Prior to October 21, 2020…

Students: 101,014 students enrolled

Ratings: 860 reviews

Rank: ranked #1515 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Complete Machine Learning with R Studio – ML for 2020 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

CMLWRS-MF2 final details

Languages: English

Skill level: All Levels

Lectures: 119 lectures lectures lessons

Duration: 13 total hours hours of video

What you get: Learn how to solve real life problem using the Machine learning techniques

Target audience: People pursuing a career in data science

Requirements: Students will need to install R and R studio 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

95% off Data Science 2020 : Complete Data Science & Machine Learning (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!

Data Science 2020 : Complete Data Science & Machine Learning - Udemy Coupon

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This is the best Udemy Data Science 2020 : Complete Data Science & Machine Learning coupon code discount for 2020.

So if you’re interested in Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team’s “Data Science 2020 : Complete Data Science & Machine Learning” 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.)

Data Science 2020 : Complete Data Science & Machine Learning review for 2020

In our review of this course, we try to help you answer all of your most important questions about Data Science 2020 : Complete Data Science & Machine Learning 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 DS2:CDS&ML as an abbreviation of the course name?

During our Data Science 2020 : Complete Data Science & Machine Learning course review, you might sometimes see us refer to it as DS2:CDS&ML 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 DS2:CDS&ML is simpler and easier for reviewing purposes

The full course name is 60 characters long, including blanks, while DS2:CDS&ML is 10 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 50 characters every time we use DS2:CDS&ML.

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 DS2:CDS&ML throughout the remainder of this review.

Is the Data Science 2020 : Complete Data Science & Machine Learning course for you?

To determine whether Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team chose for the course, “Data Science 2020 : Complete Data Science & Machine Learning”, as well as its subtitle: “Machine Learning A-Z, Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what DS2:CDS&ML 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Data Science 2020 : Complete Data Science & Machine Learning 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team’s official description of DS2:CDS&ML

Data Science and Machine Learning are the hottest skills in demand but challenging to learn. Did you wish that there was one course for Data Science and Machine Learning that covers everything from Math for Machine Learning, Advance Statistics for Data Science, Data Processing, Machine Learning A-Z, Deep learning and more?

Well, you have come to the right place. This Data Science and Machine Learning course has 11 projects, 250+ lectures, more than 25+ hours of content, one Kaggle competition project with top 1 percentile score, code templates and various quizzes.

We are going to execute following real-life projects,

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

Does DS2:CDS&ML pass the 30 Seconds Test?

You can read a lot more about Data Science 2020 : Complete Data Science & Machine Learning 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, Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Data Science 2020 : Complete Data Science & Machine Learning appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with DS2:CDS&ML 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 DS2:CDS&ML 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, Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team’s Udemy bio

Learner and knowledge seeker for life with 20 years of technology experience.

What did you think about Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team after reading just the first few lines of the bio above?

After reading just the first few lines about Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team, did it make you more or less interested in taking the DS2:CDS&ML course?

And did it make you feel like Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team was more or less credible and qualified to teach Data Science 2020 : Complete Data Science & Machine Learning?

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 DS2:CDS&ML lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Data Science 2020 : Complete Data Science & Machine Learning 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 DS2:CDS&ML 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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, Data Science 2020 : Complete Data Science & Machine Learning, as well as the course’s subtitle, Machine Learning A-Z, Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that DS2:CDS&ML is potentially a good, useful course for you, and you can have more confidence in Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team that you enjoyed?

Have you already learned something from Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team that you valued or enjoyed?

For example, does the Data Science 2020 : Complete Data Science & Machine Learning 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 DS2:CDS&ML lessons for free, have you perhaps watched a YouTube video by Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team’s teaching methods, and the more you enjoy them, the more likely it is that Data Science 2020 : Complete Data Science & Machine Learning will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team before purchasing this course, since it’s one of the best ways to determine whether DS2:CDS&ML will be helpful for you.)

Are “Data Science 2020 : Complete Data Science & Machine Learning” reviews generally positive?

On the bottom of the DS2:CDS&ML page, you can read student reviews of the class.

Prior to October 21, 2020, there were 6,991 students enrolled, 1,132 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate DS2:CDS&ML 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 DS2:CDS&ML reviews to get an overall sense of them. You don’t have to read each one!

Is Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team responsive to student questions in the DS2:CDS&ML training?

You can see what other students have to say about this in their DS2:CDS&ML 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team a message through this system quite easily, even if you haven’t bought DS2:CDS&ML yet.

For example, you could say, “Hi, and I came across DS2:CDS&ML 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 Data Science 2020 : Complete Data Science & Machine Learning on your own, online?

This is a big one, because Data Science 2020 : Complete Data Science & Machine Learning 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 Data Science 2020 : Complete Data Science & Machine Learning.

Yes, you will be able to interact with the students and the teacher, Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 DS2:CDS&ML make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Data Science 2020 : Complete Data Science & Machine Learning training that looks something like this:

  • The purpose of DS2:CDS&ML can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other DS2:CDS&ML students have great things to say about the program

Other benefits include:

  • You get to go through DS2:CDS&ML at your own pace
  • You join a community of 6,991 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 DS2:CDS&ML would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford DS2:CDS&ML?

Can you comfortably afford the cost of Data Science 2020 : Complete Data Science & Machine Learning?

This is an important question to answer, because even if you think DS2:CDS&ML sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 21, 2020, 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 DS2:CDS&ML 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 Data Science 2020 : Complete Data Science & Machine Learning?

By far, the easiest way to get the best and biggest discount on this course is to use the Data Science 2020 : Complete Data Science & Machine Learning discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 DS2:CDS&ML course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting DS2:CDS&ML for a better price, but also with any other Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team Udemy course that you’d like to get for cheaper.

How can Google help you get a DS2:CDS&ML discount?

To use this method, do a Google search for the DS2:CDS&ML 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 Data Science 2020 : Complete Data Science & Machine Learning promo code” or “Data Science 2020 : Complete Data Science & Machine Learning udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team’s name and see what happens.

For example, you might do a Google search for “Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team Udemy coupons” or “Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 “Data Science 2020 : Complete Data Science & Machine Learning coupons” rather than “Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team coupons”.

How can a Udemy sale get you DS2:CDS&ML 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 DS2:CDS&ML 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team decides not to participate in the site wide sale, then you won’t get a discount on DS2:CDS&ML, 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 DS2:CDS&ML 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 DS2:CDS&ML discount from Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team?

If you’re really serious about getting “Data Science 2020 : Complete Data Science & Machine Learning” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Data Science 2020 : Complete Data Science & Machine Learning. 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team’s mailing list, if you can find it, and then you hope that at some time DS2:CDS&ML 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 DS2:CDS&ML for free?

Of course, the best possible price for the DS2:CDS&ML 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 “Data Science 2020 : Complete Data Science & Machine Learning free coupon” or “Data Science 2020 : Complete Data Science & Machine Learning 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 Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z Team has offered free coupons for DS2:CDS&ML 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 DS2:CDS&ML free download?

It’s important to understand that there’s a difference between getting full access to the DS2:CDS&ML training for free legally with a free coupon code vs. finding a way to download DS2:CDS&ML illegally.

If you really want to go the download route, you can do a google search for something like “Data Science 2020 : Complete Data Science & Machine Learning 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 “Data Science 2020 : Complete Data Science & Machine Learning 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, Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 6,991 students enrolled in the program.

Can you get a refund on Data Science 2020 : Complete Data Science & Machine Learning if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the DS2:CDS&ML training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 DS2:CDS&ML no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the DS2:CDS&ML training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 DS2:CDS&ML and not liking it, since you can always get your money back.

What is OCP’s overall rating of Data Science 2020 : Complete Data Science & Machine Learning?

During this DS2:CDS&ML 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 DS2:CDS&ML training, the instructor, Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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 Data Science 2020 : Complete Data Science & Machine Learning?

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 DS2:CDS&ML

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what DS2:CDS&ML’s online training is all about:

DS2:CDS&ML coupon & course info

Course Name: Data Science 2020 : Complete Data Science & Machine Learning

Subtitle: Machine Learning A-Z, Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science

Instructor: Taught by Jitesh Khurkhuriya, Jitesh’s Data Science & Machine Learning A-Z 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)

DS2:CDS&ML review info & popularity

Prior to October 21, 2020…

Students: 6,991 students enrolled

Ratings: 1,132 reviews

Rank: ranked #35 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Data Science 2020 : Complete Data Science & Machine Learning 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

DS2:CDS&ML final details

Languages: English

Skill level: All Levels

Lectures: 280 lectures lectures lessons

Duration: 26 total hours hours of video

What you get: Learn Complete Data Science skillset required to be a Data Scientist with all the advance concepts

Target audience: Beginners as well as advance programmers who want to make a career in Data Science and Machine Learning

Requirements: No prerequisites. I will teach right from basics in Python to Advanced Deep Learning

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 Neural Networks in Python: Deep Learning for Beginners (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!

Neural Networks in Python: Deep Learning for Beginners - Udemy Coupon

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This is the best Udemy Neural Networks in Python: Deep Learning for Beginners coupon code discount for 2020.

So if you’re interested in Start-Tech Academy’s “Neural Networks in Python: Deep Learning for Beginners” 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.)

Neural Networks in Python: Deep Learning for Beginners review for 2020

In our review of this course, we try to help you answer all of your most important questions about Neural Networks in Python: Deep Learning for Beginners 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 NNIPDLFB as an abbreviation of the course name?

During our Neural Networks in Python: Deep Learning for Beginners course review, you might sometimes see us refer to it as NNIPDLFB 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 NNIPDLFB is simpler and easier for reviewing purposes

The full course name is 54 characters long, including blanks, while NNIPDLFB is 8 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 46 characters every time we use NNIPDLFB.

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 NNIPDLFB throughout the remainder of this review.

Is the Neural Networks in Python: Deep Learning for Beginners 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, “Neural Networks in Python: Deep Learning for Beginners”, as well as its subtitle: “Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python”.

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 NNIPDLFB 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 Neural Networks in Python: Deep Learning for Beginners 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 NNIPDLFB

You’re looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in Python, right?

You’ve found the right Neural Networks course!

After completing this course you will be able to:

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

Does NNIPDLFB pass the 30 Seconds Test?

You can read a lot more about Neural Networks in Python: Deep Learning for Beginners 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 Neural Networks in Python: Deep Learning for Beginners appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with NNIPDLFB 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 NNIPDLFB 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 NNIPDLFB course?

And did it make you feel like Start-Tech Academy was more or less credible and qualified to teach Neural Networks in Python: Deep Learning for Beginners?

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 NNIPDLFB lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Neural Networks in Python: Deep Learning for Beginners 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 NNIPDLFB 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, Neural Networks in Python: Deep Learning for Beginners, as well as the course’s subtitle, Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that NNIPDLFB 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 Neural Networks in Python: Deep Learning for Beginners 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 NNIPDLFB 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 Neural Networks in Python: Deep Learning for Beginners 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 NNIPDLFB will be helpful for you.)

Are “Neural Networks in Python: Deep Learning for Beginners” reviews generally positive?

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

Prior to October 21, 2020, there were 76,191 students enrolled, 821 reviews / ratings, and it was overall rated 4.4 out of 5.

Obviously, the more highly other students rate NNIPDLFB 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 NNIPDLFB 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 NNIPDLFB training?

You can see what other students have to say about this in their NNIPDLFB 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 NNIPDLFB yet.

For example, you could say, “Hi, and I came across NNIPDLFB 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 Neural Networks in Python: Deep Learning for Beginners on your own, online?

This is a big one, because Neural Networks in Python: Deep Learning for Beginners 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 Neural Networks in Python: Deep Learning for Beginners.

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 NNIPDLFB make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Neural Networks in Python: Deep Learning for Beginners training that looks something like this:

  • The purpose of NNIPDLFB 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 NNIPDLFB students have great things to say about the program

Other benefits include:

  • You get to go through NNIPDLFB at your own pace
  • You join a community of 76,191 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 NNIPDLFB would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford NNIPDLFB?

Can you comfortably afford the cost of Neural Networks in Python: Deep Learning for Beginners?

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

Before October 21, 2020, 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 NNIPDLFB 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 Neural Networks in Python: Deep Learning for Beginners?

By far, the easiest way to get the best and biggest discount on this course is to use the Neural Networks in Python: Deep Learning for Beginners 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 NNIPDLFB course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting NNIPDLFB 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 NNIPDLFB discount?

To use this method, do a Google search for the NNIPDLFB 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 Neural Networks in Python: Deep Learning for Beginners promo code” or “Neural Networks in Python: Deep Learning for Beginners 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 “Neural Networks in Python: Deep Learning for Beginners coupons” rather than “Start-Tech Academy coupons”.

How can a Udemy sale get you NNIPDLFB 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 NNIPDLFB 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 NNIPDLFB, 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 NNIPDLFB 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 NNIPDLFB discount from Start-Tech Academy?

If you’re really serious about getting “Neural Networks in Python: Deep Learning for Beginners” 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 Neural Networks in Python: Deep Learning for Beginners. 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 NNIPDLFB 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 NNIPDLFB for free?

Of course, the best possible price for the NNIPDLFB 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 “Neural Networks in Python: Deep Learning for Beginners free coupon” or “Neural Networks in Python: Deep Learning for Beginners 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 NNIPDLFB 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 NNIPDLFB free download?

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

If you really want to go the download route, you can do a google search for something like “Neural Networks in Python: Deep Learning for Beginners 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 “Neural Networks in Python: Deep Learning for Beginners 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 76,191 students enrolled in the program.

Can you get a refund on Neural Networks in Python: Deep Learning for Beginners if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the NNIPDLFB 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 NNIPDLFB no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the NNIPDLFB 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 NNIPDLFB and not liking it, since you can always get your money back.

What is OCP’s overall rating of Neural Networks in Python: Deep Learning for Beginners?

During this NNIPDLFB 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 NNIPDLFB training, the instructor, Start-Tech Academy, 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 Neural Networks in Python: Deep Learning for Beginners?

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 NNIPDLFB

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

NNIPDLFB coupon & course info

Course Name: Neural Networks in Python: Deep Learning for Beginners

Subtitle: Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

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)

NNIPDLFB review info & popularity

Prior to October 21, 2020…

Students: 76,191 students enrolled

Ratings: 821 reviews

Rank: ranked #632 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Neural Networks in Python: Deep Learning for Beginners 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

NNIPDLFB final details

Languages: English

Skill level: All Levels

Lectures: 64 lectures lectures lessons

Duration: 9 total hours hours of video

What you get: Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning

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 sameStudents 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

95% off Tensorflow 2.0: Deep Learning and Artificial Intelligence (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!

Tensorflow 2.0: Deep Learning and Artificial Intelligence - Udemy Coupon

Get Discount


This is the best Udemy Tensorflow 2.0: Deep Learning and Artificial Intelligence coupon code discount for 2020.

So if you’re interested in Lazy Programmer Inc., Lazy Programmer Team’s “Tensorflow 2.0: Deep Learning and Artificial Intelligence” 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.)

Tensorflow 2.0: Deep Learning and Artificial Intelligence review for 2020

In our review of this course, we try to help you answer all of your most important questions about Tensorflow 2.0: Deep Learning and Artificial Intelligence 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 T2DLAAI as an abbreviation of the course name?

During our Tensorflow 2.0: Deep Learning and Artificial Intelligence course review, you might sometimes see us refer to it as T2DLAAI 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 T2DLAAI is simpler and easier for reviewing purposes

The full course name is 57 characters long, including blanks, while T2DLAAI is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 50 characters every time we use T2DLAAI.

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 T2DLAAI throughout the remainder of this review.

Is the Tensorflow 2.0: Deep Learning and Artificial Intelligence course for you?

To determine whether Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer Team chose for the course, “Tensorflow 2.0: Deep Learning and Artificial Intelligence”, as well as its subtitle: “Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Lazy Programmer Inc., Lazy Programmer Team is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what T2DLAAI 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 Lazy Programmer Inc., Lazy Programmer 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 Tensorflow 2.0: Deep Learning and Artificial Intelligence 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 Lazy Programmer Inc., Lazy Programmer Team’s official description of T2DLAAI

Welcome to Tensorflow 2.0!

What an exciting time. It’s been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version.

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

Does T2DLAAI pass the 30 Seconds Test?

You can read a lot more about Tensorflow 2.0: Deep Learning and Artificial Intelligence 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, Lazy Programmer Inc., Lazy Programmer 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 Tensorflow 2.0: Deep Learning and Artificial Intelligence appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with T2DLAAI 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 Lazy Programmer Inc., Lazy Programmer Team do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer 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 T2DLAAI 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, Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer Team’s Udemy bio

Today, I spend most of my time as an artificial intelligence and machine learning engineer with a focus on deep learning, although I have also been known as a data scientist, big data engineer, and full stack software engineer.

What did you think about Lazy Programmer Inc., Lazy Programmer Team after reading just the first few lines of the bio above?

After reading just the first few lines about Lazy Programmer Inc., Lazy Programmer Team, did it make you more or less interested in taking the T2DLAAI course?

And did it make you feel like Lazy Programmer Inc., Lazy Programmer Team was more or less credible and qualified to teach Tensorflow 2.0: Deep Learning and Artificial Intelligence?

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 T2DLAAI lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Tensorflow 2.0: Deep Learning and Artificial Intelligence 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 T2DLAAI 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 Lazy Programmer Inc., Lazy Programmer 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, Tensorflow 2.0: Deep Learning and Artificial Intelligence, as well as the course’s subtitle, Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that T2DLAAI is potentially a good, useful course for you, and you can have more confidence in Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer Team that you enjoyed?

Have you already learned something from Lazy Programmer Inc., Lazy Programmer Team that you valued or enjoyed?

For example, does the Tensorflow 2.0: Deep Learning and Artificial Intelligence 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 T2DLAAI lessons for free, have you perhaps watched a YouTube video by Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer Team’s teaching methods, and the more you enjoy them, the more likely it is that Tensorflow 2.0: Deep Learning and Artificial Intelligence will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Lazy Programmer Inc., Lazy Programmer Team before purchasing this course, since it’s one of the best ways to determine whether T2DLAAI will be helpful for you.)

Are “Tensorflow 2.0: Deep Learning and Artificial Intelligence” reviews generally positive?

On the bottom of the T2DLAAI page, you can read student reviews of the class.

Prior to October 21, 2020, there were 20,850 students enrolled, 3,585 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate T2DLAAI 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 T2DLAAI reviews to get an overall sense of them. You don’t have to read each one!

Is Lazy Programmer Inc., Lazy Programmer Team responsive to student questions in the T2DLAAI training?

You can see what other students have to say about this in their T2DLAAI 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 Lazy Programmer Inc., Lazy Programmer Team a message through this system quite easily, even if you haven’t bought T2DLAAI yet.

For example, you could say, “Hi, and I came across T2DLAAI 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 Tensorflow 2.0: Deep Learning and Artificial Intelligence on your own, online?

This is a big one, because Tensorflow 2.0: Deep Learning and Artificial Intelligence 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 Tensorflow 2.0: Deep Learning and Artificial Intelligence.

Yes, you will be able to interact with the students and the teacher, Lazy Programmer Inc., Lazy Programmer 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 T2DLAAI make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Tensorflow 2.0: Deep Learning and Artificial Intelligence training that looks something like this:

  • The purpose of T2DLAAI can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Lazy Programmer Inc., Lazy Programmer Team is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other T2DLAAI students have great things to say about the program

Other benefits include:

  • You get to go through T2DLAAI at your own pace
  • You join a community of 20,850 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 T2DLAAI would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford T2DLAAI?

Can you comfortably afford the cost of Tensorflow 2.0: Deep Learning and Artificial Intelligence?

This is an important question to answer, because even if you think T2DLAAI sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 21, 2020, 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 T2DLAAI 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 Tensorflow 2.0: Deep Learning and Artificial Intelligence?

By far, the easiest way to get the best and biggest discount on this course is to use the Tensorflow 2.0: Deep Learning and Artificial Intelligence discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Lazy Programmer Inc., Lazy Programmer 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 T2DLAAI course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting T2DLAAI for a better price, but also with any other Lazy Programmer Inc., Lazy Programmer Team Udemy course that you’d like to get for cheaper.

How can Google help you get a T2DLAAI discount?

To use this method, do a Google search for the T2DLAAI 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 Tensorflow 2.0: Deep Learning and Artificial Intelligence promo code” or “Tensorflow 2.0: Deep Learning and Artificial Intelligence udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Lazy Programmer Inc., Lazy Programmer Team’s name and see what happens.

For example, you might do a Google search for “Lazy Programmer Inc., Lazy Programmer Team Udemy coupons” or “Lazy Programmer Inc., Lazy Programmer 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 “Tensorflow 2.0: Deep Learning and Artificial Intelligence coupons” rather than “Lazy Programmer Inc., Lazy Programmer Team coupons”.

How can a Udemy sale get you T2DLAAI 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 T2DLAAI 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 Lazy Programmer Inc., Lazy Programmer Team decides not to participate in the site wide sale, then you won’t get a discount on T2DLAAI, 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 T2DLAAI 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 T2DLAAI discount from Lazy Programmer Inc., Lazy Programmer Team?

If you’re really serious about getting “Tensorflow 2.0: Deep Learning and Artificial Intelligence” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Lazy Programmer Inc., Lazy Programmer 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 Lazy Programmer Inc., Lazy Programmer 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 Tensorflow 2.0: Deep Learning and Artificial Intelligence. 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 Lazy Programmer Inc., Lazy Programmer Team’s mailing list, if you can find it, and then you hope that at some time T2DLAAI 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 T2DLAAI for free?

Of course, the best possible price for the T2DLAAI 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 Lazy Programmer Inc., Lazy Programmer 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 “Tensorflow 2.0: Deep Learning and Artificial Intelligence free coupon” or “Tensorflow 2.0: Deep Learning and Artificial Intelligence 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 Lazy Programmer Inc., Lazy Programmer Team has offered free coupons for T2DLAAI 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 T2DLAAI free download?

It’s important to understand that there’s a difference between getting full access to the T2DLAAI training for free legally with a free coupon code vs. finding a way to download T2DLAAI illegally.

If you really want to go the download route, you can do a google search for something like “Tensorflow 2.0: Deep Learning and Artificial Intelligence 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 “Tensorflow 2.0: Deep Learning and Artificial Intelligence 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, Lazy Programmer Inc., Lazy Programmer 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 20,850 students enrolled in the program.

Can you get a refund on Tensorflow 2.0: Deep Learning and Artificial Intelligence if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the T2DLAAI training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Lazy Programmer Inc., Lazy Programmer 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 T2DLAAI no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the T2DLAAI training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Lazy Programmer Inc., Lazy Programmer 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 T2DLAAI and not liking it, since you can always get your money back.

What is OCP’s overall rating of Tensorflow 2.0: Deep Learning and Artificial Intelligence?

During this T2DLAAI 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 T2DLAAI training, the instructor, Lazy Programmer Inc., Lazy Programmer Team, 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 Tensorflow 2.0: Deep Learning and Artificial Intelligence?

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 T2DLAAI

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what T2DLAAI’s online training is all about:

T2DLAAI coupon & course info

Course Name: Tensorflow 2.0: Deep Learning and Artificial Intelligence

Subtitle: Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!

Instructor: Taught by Lazy Programmer Inc., Lazy Programmer 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)

T2DLAAI review info & popularity

Prior to October 21, 2020…

Students: 20,850 students enrolled

Ratings: 3,585 reviews

Rank: ranked #424 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Tensorflow 2.0: Deep Learning and Artificial Intelligence 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

T2DLAAI final details

Languages: English

Skill level: All Levels

Lectures: 128 lectures lectures lessons

Duration: 21 total hours hours of video

What you get: Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)

Target audience: Beginners to advanced students who want to learn about deep learning and AI in Tensorflow 2.0

Requirements: Know how to code in Python and Numpy

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