95% off Deep Learning Prerequisites: Logistic Regression in Python (Coupon & Review)

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Deep Learning Prerequisites: Logistic Regression in Python - Udemy Coupon

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This is the best Udemy Deep Learning Prerequisites: Logistic Regression in Python coupon code discount for 2023.

So if you’re interested in Justin C’s “Deep Learning Prerequisites: Logistic Regression 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.)

Deep Learning Prerequisites: Logistic Regression in Python review for 2023

In our review of this course, we try to help you answer all of your most important questions about Deep Learning Prerequisites: Logistic Regression 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 DLPLRIP as an abbreviation of the course name?

During our Deep Learning Prerequisites: Logistic Regression in Python course review, you might sometimes see us refer to it as DLPLRIP 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 DLPLRIP is simpler and easier for reviewing purposes

The full course name is 58 characters long, including blanks, while DLPLRIP is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 51 characters every time we use DLPLRIP.

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 DLPLRIP throughout the remainder of this review.

Is the Deep Learning Prerequisites: Logistic Regression in Python course for you?

To determine whether Justin C’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 Justin C’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 Justin C chose for the course, “Deep Learning Prerequisites: Logistic Regression in Python”, as well as its subtitle: “Data science techniques for professionals and students – learn the theory behind logistic regression and code in Python”.

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

In our opinion, if you still don’t know what DLPLRIP 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 Justin C hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Deep Learning Prerequisites: Logistic Regression 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 Justin C’s official description of DLPLRIP

This course is a lead-in to deep learning and neural networks – it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python.

This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.

This course provides you with many practical examples so that you can really see how deep learning can be used on anything. Throughout the course, we’ll do a course project, which will show you how to predict user actions on a website given user data like whether or not that user is on a mobile device, the number of products they viewed, how long they stayed on your site, whether or not they are a returning visitor, and what time of day they visited.

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

Does DLPLRIP pass the 30 Seconds Test?

You can read a lot more about Deep Learning Prerequisites: Logistic Regression 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, Justin C has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

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

Did Deep Learning Prerequisites: Logistic Regression in Python appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with DLPLRIP 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 Justin C do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Justin C’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 Justin C 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 DLPLRIP 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, Justin C’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 Justin C, 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 Justin C’s Udemy bio

I am a data scientist, big data engineer, and full stack software engineer.

(Learn more about this instructor on the official course page.)

What did you think about Justin C after reading just the first few lines of the bio above?

After reading just the first few lines about Justin C, did it make you more or less interested in taking the DLPLRIP course?

And did it make you feel like Justin C was more or less credible and qualified to teach Deep Learning Prerequisites: Logistic Regression 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 DLPLRIP lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Deep Learning Prerequisites: Logistic Regression 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 DLPLRIP 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 Justin C’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Deep Learning Prerequisites: Logistic Regression in Python, as well as the course’s subtitle, Data science techniques for professionals and students – learn the theory behind logistic regression and code in Python.

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

Have you already learned something from Justin C that you valued or enjoyed?

For example, does the Deep Learning Prerequisites: Logistic Regression 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 DLPLRIP lessons for free, have you perhaps watched a YouTube video by Justin C, 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 Justin C’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 Justin C’s teaching methods, and the more you enjoy them, the more likely it is that Deep Learning Prerequisites: Logistic Regression in Python will be a good fit for you.

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

Are “Deep Learning Prerequisites: Logistic Regression in Python” reviews generally positive?

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

Prior to February 04, 2023, there were 8,185 students enrolled, 3,013 reviews / ratings, and it was overall rated 4.6 out of 5.

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

Is Justin C responsive to student questions in the DLPLRIP training?

You can see what other students have to say about this in their DLPLRIP 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 Justin C a message through this system quite easily, even if you haven’t bought DLPLRIP yet.

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

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

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Deep Learning Prerequisites: Logistic Regression in Python on your own, online?

This is a big one, because Deep Learning Prerequisites: Logistic Regression 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 Deep Learning Prerequisites: Logistic Regression in Python.

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

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

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

Other benefits include:

  • You get to go through DLPLRIP at your own pace
  • You join a community of 8,185 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 DLPLRIP would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford DLPLRIP?

Can you comfortably afford the cost of Deep Learning Prerequisites: Logistic Regression in Python?

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

Before February 04, 2023, 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 DLPLRIP with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

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

How can you maximize your discount on Deep Learning Prerequisites: Logistic Regression in Python?

By far, the easiest way to get the best and biggest discount on this course is to use the Deep Learning Prerequisites: Logistic Regression in Python discount code link at the top of this page.

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

FYI, the methods below will help you not just with getting DLPLRIP for a better price, but also with any other Justin C Udemy course that you’d like to get for cheaper.

How can Google help you get a DLPLRIP discount?

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

For example, you might do a search for “Udemy Deep Learning Prerequisites: Logistic Regression in Python promo code” or “Deep Learning Prerequisites: Logistic Regression in Python udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Justin C’s name and see what happens.

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

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

So in this case, for example, prioritize searches for “Deep Learning Prerequisites: Logistic Regression in Python coupons” rather than “Justin C coupons”.

How can a Udemy sale get you DLPLRIP 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 DLPLRIP 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 Justin C decides not to participate in the site wide sale, then you won’t get a discount on DLPLRIP, 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 DLPLRIP 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 DLPLRIP discount from Justin C?

If you’re really serious about getting “Deep Learning Prerequisites: Logistic Regression 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 Justin C, 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 Justin C’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Deep Learning Prerequisites: Logistic Regression 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 Justin C’s mailing list, if you can find it, and then you hope that at some time DLPLRIP 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 DLPLRIP for free?

Of course, the best possible price for the DLPLRIP 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 Justin C has done this.

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

For example, you might do a google search for “Deep Learning Prerequisites: Logistic Regression in Python free coupon” or “Deep Learning Prerequisites: Logistic Regression 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 Justin C has offered free coupons for DLPLRIP 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 DLPLRIP free download?

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

If you really want to go the download route, you can do a google search for something like “Deep Learning Prerequisites: Logistic Regression 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 “Deep Learning Prerequisites: Logistic Regression 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, Justin C 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 8,185 students enrolled in the program.

Can you get a refund on Deep Learning Prerequisites: Logistic Regression in Python if you don’t like it?

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

Then, you actually dive into Justin C’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 DLPLRIP no matter what. And this means there is absolutely no risk.

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

What is OCP’s overall rating of Deep Learning Prerequisites: Logistic Regression in Python?

During this DLPLRIP 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 DLPLRIP training, the instructor, Justin C, 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 Deep Learning Prerequisites: Logistic Regression in Python?

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


1. Deep Learning Prerequisites: Linear Regression in Python

Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.

Taught by Justin C, Data scientist and big data engineer


2. Write a Novel Outline from Scratch (Novel Writing Success)

Write a complete novel outline in this detailed outlining course for writers of all levels. Start writing yours now!

Taught by Andrew Butcher, #1 Amazon Bestselling Author & Master Plot Juggler


3. Write: Basic Creative Writing Skills for Beginners (2016 Ed)

Write by Writing: Write a novel, novella or short story with this practical guide to writing for beginners (2016 Ed)

Taught by Author/Publisher Brian Jackson, 21 Courses, 1,200+ Reviews, 4.61 Stars and 28,500+ Students


4. Serving Well in China

A Cultural Framework for Serving in China

Taught by ChinaSource Institute, Serving the China Ministry Community


5. Simply Good News

Embrace the concept of ‘good news’ as it was understood in the 1st Century New Testament world in order to live in it!

Taught by N.T. Wright, Professor

TLDR: Just the quick facts about DLPLRIP

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

DLPLRIP coupon & course info

Course Name: Deep Learning Prerequisites: Logistic Regression in Python

Subtitle: Data science techniques for professionals and students – learn the theory behind logistic regression and code in Python

Instructor: Taught by Justin C

Category: Development

Subcategory: Math & 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)

DLPLRIP review info & popularity

Prior to February 04, 2023…

Students: 8,185 students enrolled

Ratings: 3,013 reviews

Rank: ranked #9 in Udemy Academics Courses in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Deep Learning Prerequisites: Logistic Regression 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

DLPLRIP final details

Languages: English

Skill level: All Levels

Lectures: 59 lectures lectures lessons

Duration: 6 total hours hours of video

What you get: program logistic regression from scratch in Python

Target audience: Adult learners who want to get into the field of data science and big data

Requirements: You should know how to take a derivative

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 Mastering Mental Math Tricks – Vedic Mathematics (Coupon)

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!

Mastering Mental Math Tricks - Vedic Mathematics - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Mastering Mental Math Tricks – Vedic Mathematics

Subtitle: Learn how to do simple maths operations quickly and more accurately using mental maths techniques.

Instructor: Taught by Mr Ashutosh Pareek, Software Engineer and Educator

Category: Academics

Subcategory: Math & Science

Provided by: Udemy

Price: $20 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of July 20, 2016…

Students: 520 students enrolled

Ratings: 13 reviews

Rank: ranked #39 in Udemy Academics Courses

Brief course description

Calculations are required everywhere and everytime. People find simple addition, subtraction, multiplication and division difficult to solve. Whenever they see calculation they run for the calculator.

This problem arises especially among students who are preparing for competitive examinations such as GRE, GMAT, SAT, CAT etc,. The candidate is expected to perform an incredible amount of calculation in a very short time. .

This course provides a new approach to do the calculations. After taking this course you will be able to do most of the calculations in your head.

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

Mr Ashutosh Pareek bio

Hi, I am a Software Engineer and an Educator. I have working experience of software developer for over 7 years and I am working as an Educator for last 5 years.

(Learn more about this instructor on the official course page.)

Recommended courses

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 27 lessons

Duration: 1.5 hours of video

What you get: Do Addition, Subtraction, Multiplication and Division at 50% faster speed

Target audience: Students preparing for competition examinations such as GRE, GMAT, SAT, CAT

Requirements: Add, subtract, multiply and divide numbers

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 Infinite Sequence and Series (Coupon)

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!

Infinite Sequence and Series - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Infinite Sequence and Series

Subtitle: From the Basic of Sequences and series you will become Master in Convergent and Divergent series and Much more …

Instructor: Taught by Bharat Hassani, Professional Math Tutor , Yoga Trainer , Electrical Engineer

Category: Academics

Subcategory: Math & Science

Provided by: Udemy

Price: $20 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of July 20, 2016…

Students: 1640 students enrolled

Ratings: 2 reviews

Rank: ranked #60 in Udemy Academics Courses

Brief course description

This course is not only virtual learning material . You can ask any questions related to Infinite Sequence and series after enrolling in this course.

Here is a listing and brief description of the topics in this course.

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

Bharat Hassani bio

Graduated in Electrical engineering from University of Rajasthan in year 2006, Taught over 1000 students of High school after graduation and still counting, worked as Yoga trainer and trained more than 700 person, Worked as an online tutor for mathematics. Provide coaching to students who prepare India’s engineering entrance examination, competitive examination. Published 2 books on calculus, algebra. Prepare Exam papers and question bank based on Entrance exam/test prep after high school, Provide homework help through various freelancing websites, Build strong relationship with students globally to meet their subject requirement and help them to improve their grade and develop their interest in understanding of mathematics.

(Learn more about this instructor on the official course page.)

Recommended courses

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1. Fundamentals of Automobile Engineering

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 15 lessons

Duration: 37 mins of video

What you get: Basic Idea of Convergent and Divergent Sequences

Target audience: Adult Learner

Requirements: Basic Knowledge of Calculus-I topic like Limits, Integral etc.

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 Mastering Basic Math skills (Coupon)

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!

Mastering Basic Math skills - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Mastering Basic Math skills

Subtitle: Master the basic topics in math that will help you, in everyday life!

Instructor: Taught by Front End Developer Kevin Ventura, Teaching relevant & applicable web development skills.

Category: Academics

Subcategory: Math & Science

Provided by: Udemy

Price: $20 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of August 12, 2016…

Students: 1306 students enrolled

Ratings: 17 reviews

Rank: ranked #92c in Udemy Academics Courses

Brief course description

Welcome to the easily learning basic math, a place where you can come and learn the basic topics of math from scratch. In this course we will be covering the most important fundamentals math concepts, that will help you in everyday life, and will help you move on to Pre Algebra.

You maybe someone who hasn’t practices the core math fundamentals that are taught in grade school and need a good refresher, or you maybe a college student who needs to pass a college entrance exam, or you just might just be a parent who wants to make sure your kid becomes excellent at math and doesn’t to fall victim to the “Math is difficult syndrome.”

In reality Math isn’t hard at all, all that’s require is learning a few necessary steps to solve any given problem, and thats what you’ll learn in this course.

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

Front End Developer Kevin Ventura bio

Hi everyone, thanks for reading my bio.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 37 lessons

Duration: 3.5 hours of video

What you get: After taking this course you will be able to solve any basic math problem in the topics of addition. subtraction, multiplication, division, fractions, among a few.

Target audience: You should take this course if you need a refresher in the basic math topics, taught in grade school.

Requirements: All you need to take this course is a pencil, a few sheets of paper, and a willingness to learn.

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 Digital Signal Processing with MATLAB (Codes Included) (Coupon)

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!

Digital Signal Processing with MATLAB (Codes Included) - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Digital Signal Processing with MATLAB (Codes Included)

Subtitle: Practical Guide to the Digital Signal Processing with multiple solved projects and downlodable source codes

Instructor: Taught by Coursovie Training Inc., Invest in Yourself

Category: Academics

Subcategory: Math & Science

Provided by: Udemy

Price: $100 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of October 3, 2016…

Students: 1329 students enrolled

Ratings: 41 reviews

Rank: ranked #35e in Udemy Academics Courses

Brief course description

This course offers Coursovie Training Certificate in addition to Udemy Certificate. Coursovie Certificate is FREE and requires registration on Coursovie Website.

In this course, students will explore the vast world that is digital signal processing. Led by instructor Jake Bailey, MSME (Adjunct Faculty, CSU Fullerton), students will undertake lessons in fundamentals such as discrete mathematics, signal and system representations, discrete Fourier and z-transforms, transfer functions and poles and zeros, and many others. All of these concepts are reinforced by example and practice using the MATLAB computational software package.

After acclimating with the language and methods of DSP, students will then be ushered through a variety of interesting and practical real-world applications, including filter design, audio signal processing, and image processing. All of these examples are shown with the MATLAB software package, for which the M-Files are available to students who purchase the course.

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

Coursovie Training Inc. bio

Coursovie stands for Course + Movie, and we teach engineering courses using videos. Coursovie mission is to teach the engineering fundamentals practically.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 31 lessons

Duration: 2.5 hours of video

What you get: Identify and analyze digital signals and systems

Target audience: Students of Electrical and Computer Engineering Fields

Requirements: This course is self explanatory, and the required skills will be taught during the course. Knowledge of Matlab programming language and Math functions is preferred but not required.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

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

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

95% off Learn Neural Networks using Matlab Programming (Coupon)

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Learn Neural Networks using Matlab Programming - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Learn Neural Networks using Matlab Programming

Subtitle: Learn Neural Networks Fundamentals, using Matlab NN toolbox with multiple programming examples included !

Instructor: Taught by Coursovie Training Inc., Invest in Yourself

Category: Academics

Subcategory: Math & Science

Provided by: Udemy

Price: $95 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of October 3, 2016…

Students: 1253 students enrolled

Ratings: 23 reviews

Rank: ranked #135e in Udemy Academics Courses

Brief course description

This course offers Coursovie Training Certificate in addition to Udemy Certificate. Coursovie Certificate is FREE and requires registration on Coursovie Website.

Introduction :

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language developed by MathWorks. Although MATLAB is intended primarily for numerical computing, but by optional toolboxes, using the MuPAD symbolic engine, has access to symbolic computing capabilities too. One of these toolboxes is Neural Network toolbox. This toolbox is free, open source software for simulating models of brain and central nervous system, based on MATLAB computational platform. In these courses you will learn the general principles of Neural Network Toolbox designed in Matlab and you will be able to use this Toolbox efficiently as well.

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

Coursovie Training Inc. bio

Coursovie stands for Course + Movie, and we teach engineering courses using videos. Coursovie mission is to teach the engineering fundamentals practically.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 25 lessons

Duration: 2 hours of video

What you get: Work the Neural Network toolbox in Matlab

Target audience: Engineers, Students, and Researchers interested in Neural Networks

Requirements: Matlab Programming – This course is also available for download

Access: Lifetime access

Peace of mind: 30 day money back guarantee

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

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

95% off Deep Learning Prerequisites: Linear Regression in Python (Coupon & Review)

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Deep Learning Prerequisites: Linear Regression in Python - Udemy Coupon

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This is the best Udemy Deep Learning Prerequisites: Linear Regression in Python coupon code discount for 2023.

So if you’re interested in Justin C’s “Deep Learning Prerequisites: Linear Regression 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.)

Deep Learning Prerequisites: Linear Regression in Python review for 2023

In our review of this course, we try to help you answer all of your most important questions about Deep Learning Prerequisites: Linear Regression 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 DLPLRIP as an abbreviation of the course name?

During our Deep Learning Prerequisites: Linear Regression in Python course review, you might sometimes see us refer to it as DLPLRIP 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 DLPLRIP is simpler and easier for reviewing purposes

The full course name is 56 characters long, including blanks, while DLPLRIP is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 49 characters every time we use DLPLRIP.

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 DLPLRIP throughout the remainder of this review.

Is the Deep Learning Prerequisites: Linear Regression in Python course for you?

To determine whether Justin C’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 Justin C’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 Justin C chose for the course, “Deep Learning Prerequisites: Linear Regression in Python”, as well as its subtitle: “Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.”.

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

In our opinion, if you still don’t know what DLPLRIP 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 Justin C hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Deep Learning Prerequisites: Linear Regression 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 Justin C’s official description of DLPLRIP

This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python.

This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.

If you are a programmer and you want to enhance your coding abilities by learning about data science, then this course is for you. If you have a technical or mathematical background, and you want to know how to apply your skills as a software engineer or “hacker”, this course may be useful.

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

Does DLPLRIP pass the 30 Seconds Test?

You can read a lot more about Deep Learning Prerequisites: Linear Regression 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, Justin C has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

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

Did Deep Learning Prerequisites: Linear Regression in Python appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with DLPLRIP 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 Justin C do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Justin C’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 Justin C 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 DLPLRIP 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, Justin C’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 Justin C, 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 Justin C’s Udemy bio

I am a data scientist, big data engineer, and full stack software engineer.

(Learn more about this instructor on the official course page.)

What did you think about Justin C after reading just the first few lines of the bio above?

After reading just the first few lines about Justin C, did it make you more or less interested in taking the DLPLRIP course?

And did it make you feel like Justin C was more or less credible and qualified to teach Deep Learning Prerequisites: Linear Regression 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 DLPLRIP lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Deep Learning Prerequisites: Linear Regression 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 DLPLRIP 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 Justin C’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Deep Learning Prerequisites: Linear Regression in Python, as well as the course’s subtitle, Data science: Learn linear regression from scratch and build your own working program in Python for data analysis..

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

Have you already learned something from Justin C that you valued or enjoyed?

For example, does the Deep Learning Prerequisites: Linear Regression 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 DLPLRIP lessons for free, have you perhaps watched a YouTube video by Justin C, 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 Justin C’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 Justin C’s teaching methods, and the more you enjoy them, the more likely it is that Deep Learning Prerequisites: Linear Regression in Python will be a good fit for you.

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

Are “Deep Learning Prerequisites: Linear Regression in Python” reviews generally positive?

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

Prior to February 04, 2023, there were 12,683 students enrolled, 4,452 reviews / ratings, and it was overall rated 4.6 out of 5.

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

Is Justin C responsive to student questions in the DLPLRIP training?

You can see what other students have to say about this in their DLPLRIP 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 Justin C a message through this system quite easily, even if you haven’t bought DLPLRIP yet.

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

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

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Deep Learning Prerequisites: Linear Regression in Python on your own, online?

This is a big one, because Deep Learning Prerequisites: Linear Regression 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 Deep Learning Prerequisites: Linear Regression in Python.

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

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

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

Other benefits include:

  • You get to go through DLPLRIP at your own pace
  • You join a community of 12,683 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 DLPLRIP would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford DLPLRIP?

Can you comfortably afford the cost of Deep Learning Prerequisites: Linear Regression in Python?

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

Before February 04, 2023, 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 DLPLRIP with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

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

How can you maximize your discount on Deep Learning Prerequisites: Linear Regression in Python?

By far, the easiest way to get the best and biggest discount on this course is to use the Deep Learning Prerequisites: Linear Regression in Python discount code link at the top of this page.

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

FYI, the methods below will help you not just with getting DLPLRIP for a better price, but also with any other Justin C Udemy course that you’d like to get for cheaper.

How can Google help you get a DLPLRIP discount?

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

For example, you might do a search for “Udemy Deep Learning Prerequisites: Linear Regression in Python promo code” or “Deep Learning Prerequisites: Linear Regression in Python udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Justin C’s name and see what happens.

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

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

So in this case, for example, prioritize searches for “Deep Learning Prerequisites: Linear Regression in Python coupons” rather than “Justin C coupons”.

How can a Udemy sale get you DLPLRIP 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 DLPLRIP 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 Justin C decides not to participate in the site wide sale, then you won’t get a discount on DLPLRIP, 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 DLPLRIP 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 DLPLRIP discount from Justin C?

If you’re really serious about getting “Deep Learning Prerequisites: Linear Regression 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 Justin C, 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 Justin C’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Deep Learning Prerequisites: Linear Regression 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 Justin C’s mailing list, if you can find it, and then you hope that at some time DLPLRIP 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 DLPLRIP for free?

Of course, the best possible price for the DLPLRIP 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 Justin C has done this.

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

For example, you might do a google search for “Deep Learning Prerequisites: Linear Regression in Python free coupon” or “Deep Learning Prerequisites: Linear Regression 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 Justin C has offered free coupons for DLPLRIP 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 DLPLRIP free download?

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

If you really want to go the download route, you can do a google search for something like “Deep Learning Prerequisites: Linear Regression 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 “Deep Learning Prerequisites: Linear Regression 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, Justin C 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 12,683 students enrolled in the program.

Can you get a refund on Deep Learning Prerequisites: Linear Regression in Python if you don’t like it?

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

Then, you actually dive into Justin C’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 DLPLRIP no matter what. And this means there is absolutely no risk.

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

What is OCP’s overall rating of Deep Learning Prerequisites: Linear Regression in Python?

During this DLPLRIP 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 DLPLRIP training, the instructor, Justin C, 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 Deep Learning Prerequisites: Linear Regression in Python?

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


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2. Write: Basic Creative Writing Skills for Beginners (2016 Ed)

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TLDR: Just the quick facts about DLPLRIP

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

DLPLRIP coupon & course info

Course Name: Deep Learning Prerequisites: Linear Regression in Python

Subtitle: Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.

Instructor: Taught by Justin C

Category: Development

Subcategory: Math & 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)

DLPLRIP review info & popularity

Prior to February 04, 2023…

Students: 12,683 students enrolled

Ratings: 4,452 reviews

Rank: ranked #10 in Udemy Academics Courses in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Deep Learning Prerequisites: Linear Regression 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

DLPLRIP final details

Languages: English

Skill level: All Levels

Lectures: 54 lectures lectures lessons

Duration: 6.5 total hours hours of video

What you get: Derive and solve a linear regression model, and apply it appropriately to data science problems

Target audience: People who are interested in data science, machine learning, statistics and artificial intelligence

Requirements: How to take a derivative using calculus

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 Visualization with MATLAB: The Basics and Beyond (Coupon)

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 Visualization with MATLAB: The Basics and Beyond - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Data Visualization with MATLAB: The Basics and Beyond

Subtitle: THE Guide for Data Visualization with MATLAB. Anything from 2D to 5D data visualization and plot animations.

Instructor: Taught by Eng. Tod Vachev, Robotics Engineer, Instructor to over 6000 students!

Category: Academics

Subcategory: Math & Science

Provided by: Udemy

Price: $20 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of July 20, 2016…

Students: 1190 students enrolled

Ratings: 8 reviews

Rank: ranked #40 in Udemy Academics Courses

Brief course description

Why Visualize Data?

As the volume and complexity of data and results continues to grow with the increasing complexity of data sources and algorithms, the need for intuitive representations of that data and results becomes increasingly critical.

We want to create the representations in such a way that the human mind can, after all, better understanding our universe and the processes taking place within – representation of a real-world object, an abstract mathematical expression, specific values of some measurable quantities, etc. Since 80 percent of the sensory information the brain receives comes from our eyes, the visual presentation of data is the natural choice.

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

Eng. Tod Vachev bio

Tod Vachev graduated at Technical University of Varna in 2016 as a Robotics Engineer. Currently earning money online fulltime. Todor believes that true financial freedom can be achieved only by having multiple Passive Income streams, which is not that easy feat to achieve! But it does pay of! Currently earning over $1k/month from Passive Income.

(Learn more about this instructor on the official course page.)

Recommended courses

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 46 lessons

Duration: 3.5 hours of video

What you get: Create 2D plots with MATLAB

Target audience: Students

Requirements: Have MATLAB

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 Fundamentals of Automobile Engineering (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!

Fundamentals of Automobile Engineering - Udemy Coupon

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This is the best Udemy Fundamentals of Automobile Engineering coupon code discount for 2023.

So if you’re interested in Arjit Raj’s “Fundamentals of Automobile Engineering” course, which will help you increase your Teaching & Academics skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Fundamentals of Automobile Engineering review for 2023

In our review of this course, we try to help you answer all of your most important questions about Fundamentals of Automobile Engineering 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 FOAE as an abbreviation of the course name?

During our Fundamentals of Automobile Engineering course review, you might sometimes see us refer to it as FOAE 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 FOAE is simpler and easier for reviewing purposes

The full course name is 38 characters long, including blanks, while FOAE is 4 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 34 characters every time we use FOAE.

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 FOAE throughout the remainder of this review.

Is the Fundamentals of Automobile Engineering course for you?

To determine whether Arjit Raj’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 Arjit Raj’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 Arjit Raj chose for the course, “Fundamentals of Automobile Engineering”, as well as its subtitle: “Enjoy and Learn working of Cars right from basics and make it stick in your brain for ever!”.

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

In our opinion, if you still don’t know what FOAE 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 Arjit Raj 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 Fundamentals of Automobile Engineering 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 Arjit Raj’s official description of FOAE

If you can understand my language in the promo video, I GUARANTEE you of an awesome journey of learning. Else, ENTIRE MONEY will be refunded!

“Fundamentals of Automobile Engineering”

You don’t need to have a degree in Mechanical Engineering to understand working of Automobiles!

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

Does FOAE pass the 30 Seconds Test?

You can read a lot more about Fundamentals of Automobile Engineering 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, Arjit Raj 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 Teaching & Academics classes that are more clearly defined and more tailored to your specific interests.

Did Fundamentals of Automobile Engineering appeal to you in 30 seconds or less?

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

Did Arjit Raj do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Arjit Raj’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Teaching & Academics 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 Arjit Raj 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 FOAE 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, Arjit Raj’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 Arjit Raj, 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 Arjit Raj’s Udemy bio

I am a Mechanical Engineer and a Top Writer at Quora, who loves sharing knowledge and experience with people around the world. I have been awarded by Google for Entrepreneurs for building a stair climbing, completely mechanical wheel chair. I enjoy learning new things, building stuffs, and sharing knowledge.

(Learn more about this instructor on the official course page.)

What did you think about Arjit Raj after reading just the first few lines of the bio above?

After reading just the first few lines about Arjit Raj, did it make you more or less interested in taking the FOAE course?

And did it make you feel like Arjit Raj was more or less credible and qualified to teach Fundamentals of Automobile Engineering?

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

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

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

Part of the (good) problem with Udemy’s online courses, such as the Fundamentals of Automobile Engineering 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 FOAE 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 Arjit Raj’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, Fundamentals of Automobile Engineering, as well as the course’s subtitle, Enjoy and Learn working of Cars right from basics and make it stick in your brain for ever!.

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

Have you already learned something from Arjit Raj that you valued or enjoyed?

For example, does the Fundamentals of Automobile Engineering 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 FOAE lessons for free, have you perhaps watched a YouTube video by Arjit Raj, 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 Arjit Raj’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 Arjit Raj’s teaching methods, and the more you enjoy them, the more likely it is that Fundamentals of Automobile Engineering will be a good fit for you.

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

Are “Fundamentals of Automobile Engineering” reviews generally positive?

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

Prior to February 04, 2023, there were 638 students enrolled, 296 reviews / ratings, and it was overall rated 4.1 out of 5.

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

Is Arjit Raj responsive to student questions in the FOAE training?

You can see what other students have to say about this in their FOAE 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 Arjit Raj a message through this system quite easily, even if you haven’t bought FOAE yet.

For example, you could say, “Hi, and I came across FOAE while looking at Teaching & Academics 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 Fundamentals of Automobile Engineering on your own, online?

This is a big one, because Fundamentals of Automobile Engineering 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 Fundamentals of Automobile Engineering.

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

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Fundamentals of Automobile Engineering training that looks something like this:

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

Other benefits include:

  • You get to go through FOAE at your own pace
  • You join a community of 638 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 FOAE would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford FOAE?

Can you comfortably afford the cost of Fundamentals of Automobile Engineering?

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

Before February 04, 2023, 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 FOAE 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 Fundamentals of Automobile Engineering?

By far, the easiest way to get the best and biggest discount on this course is to use the Fundamentals of Automobile Engineering discount code link at the top of this page.

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

FYI, the methods below will help you not just with getting FOAE for a better price, but also with any other Arjit Raj Udemy course that you’d like to get for cheaper.

How can Google help you get a FOAE discount?

To use this method, do a Google search for the FOAE 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 Fundamentals of Automobile Engineering promo code” or “Fundamentals of Automobile Engineering udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Arjit Raj’s name and see what happens.

For example, you might do a Google search for “Arjit Raj Udemy coupons” or “Arjit Raj 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 “Fundamentals of Automobile Engineering coupons” rather than “Arjit Raj coupons”.

How can a Udemy sale get you FOAE 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 FOAE 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 Arjit Raj decides not to participate in the site wide sale, then you won’t get a discount on FOAE, 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 FOAE 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 FOAE discount from Arjit Raj?

If you’re really serious about getting “Fundamentals of Automobile Engineering” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Arjit Raj, 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 Arjit Raj’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 Fundamentals of Automobile Engineering. 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 Arjit Raj’s mailing list, if you can find it, and then you hope that at some time FOAE 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 FOAE for free?

Of course, the best possible price for the FOAE 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 Arjit Raj 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 “Fundamentals of Automobile Engineering free coupon” or “Fundamentals of Automobile Engineering 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 Arjit Raj has offered free coupons for FOAE 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 FOAE free download?

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

If you really want to go the download route, you can do a google search for something like “Fundamentals of Automobile Engineering 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 “Fundamentals of Automobile Engineering 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, Arjit Raj 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 638 students enrolled in the program.

Can you get a refund on Fundamentals of Automobile Engineering if you don’t like it?

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

Then, you actually dive into Arjit Raj’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 FOAE no matter what. And this means there is absolutely no risk.

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

What is OCP’s overall rating of Fundamentals of Automobile Engineering?

During this FOAE 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 FOAE training, the instructor, Arjit Raj, and reading what other students have said about this program, we give it an overall rating of 4.3 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 Fundamentals of Automobile Engineering?

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


1. Linear Algebra Tutorial: Determinants

Learn everything you need to know to solve problems involving determinants

Taught by Dynamic Lectures


2. Basics of Microeconomics : Theory of Producer Behaviour

Learn basics of economics and understand how producers maximize their profits

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3. The Simplest & Easiest Course on Hypothesis Testing

Easiest Beginners Course on Statistics for Newbies! Perfect for university and college levels!

Taught by Dr David Tan, University Lecturer & Youtube Statistics Teacher


4. Ultimate guide to math word problems Intermediate Part Two

Learn to tackle word problems in the easiest way possible!

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5. Punch Them In The Gut: Writing Fiction with Emotional Impact

Build Powerful Stories, Engage with Readers, Change the World

Taught by Clark Chamberlain, Storytelling Expert, Bestselling Author, Publisher

TLDR: Just the quick facts about FOAE

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

FOAE coupon & course info

Course Name: Fundamentals of Automobile Engineering

Subtitle: Enjoy and Learn working of Cars right from basics and make it stick in your brain for ever!

Instructor: Taught by Arjit Raj

Category: Teaching & Academics

Subcategory: Math & 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)

FOAE review info & popularity

Prior to February 04, 2023…

Students: 638 students enrolled

Ratings: 296 reviews

Rank: ranked #62 in Udemy Academics Courses in Udemy Teaching & Academics Courses

Rankings tip: rankings change all the time, so even if Fundamentals of Automobile Engineering 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

FOAE final details

Languages: English

Skill level: All Levels

Lectures: 44 lectures lectures lessons

Duration: 3 total hours hours of video

What you get: Understand How Cars work right from basics.

Target audience: Curiosity to learn about Cars is the most important prerequisite for being successful in this course.

Requirements: Just take the course with a fresh mind – like a child willing to explore something new and deep.

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 Calculus (Calculus 1; Calculus A; Differential Calculus) (Coupon)

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!

Calculus (Calculus 1; Calculus A; Differential Calculus) - Udemy Coupon

Get Discount


Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Calculus (Calculus 1; Calculus A; Differential Calculus)

Subtitle: Learn the core topics of Calculus to open doors to Computer Science, Data Science, Actuarial Science, and more!

Instructor: Taught by Richard Han, PhD in Mathematics

Category: Academics

Subcategory: Math & Science

Provided by: Udemy

Price: $20 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of August 12, 2016…

Students: 1736 students enrolled

Ratings: 9 reviews

Rank: ranked #97c in Udemy Academics Courses

Brief course description

——————————————————————————————————————-

Brought to you by the instructor of the successful courses Linear Algebra for Beginners: Open Doors to Great Careers and Linear Algebra for Beginners: Open Doors to Great Careers 2!

——————————————————————————————————————-

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

Richard Han bio

Hi there! My name is Richard Han. I earned my PhD in Mathematics from the University of California, Riverside. I have extensive teaching experience: 6 years as a teaching assistant at University of California, Riverside, over two years as a faculty member at Western Governors University, #1 in secondary education by the National Council on Teacher Quality, and as a faculty member at Trident University International. My expertise includes calculus and linear algebra. I am an instructor on Udemy for the courses Philosophy of Language: Solidify Critical Thinking Skills and Linear Algebra for Beginners: Open Doors to Great Careers.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 67 lessons

Duration: 5.5 hours of video

What you get: Refresh your math knowledge.

Target audience: Working Professionals

Requirements: Basic understanding of algebra

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