Master statistics & machine learning: intuition, math, code - Free Udemy Course
Mar 20, 2026
💼 Udemy 🕒 38h 30m 👥 32,897 students 🌐 English
$199.99 $12.99
Teaching & Academics Statistics

Master statistics & machine learning: intuition, math, code

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.

What you'll learn in this Udemy Course

  • Coding techniques in Python and MATLAB/Octave
  • Machine learning methods like clustering, predictive analysis, classification, and data cleaning
  • How to interpret statistics correctly and avoid common misunderstandings
  • The math behind the "black box" statistical methods
  • T-tests, correlation, ANOVA, regression, clustering
  • Descriptive statistics (mean, variance, etc)
  • Inferential statistics

Udemy Coupon Requirements

  • Good work ethic and motivation to learn
  • Previous background in statistics or machine learning is not necessary.
  • Python -OR- MATLAB with the Statistics toolbox (or Octave).
  • Some coding familiarity for the optional code exercises.
  • No textbooks necessary! All materials are provided inside the course.

About This Udemy Coupon

Statistics and probability control your life. I don't just mean What YouTube's algorithm recommends you to watch next, and I don't just mean the chance of meeting your future significant other in class or at a bar. Human behavior, single-cell organisms, Earthquakes, the stock market, whether it will snow in the first week of December, and countless other phenomena are probabilistic and statistical. Even the very nature of the most fundamental deep structure of the universe is governed by probability and statistics.

You need to understand statistics.

Nearly all areas of human civilization are incorporating code and numerical computations. This means that many jobs and areas of study are based on applications of statistical and machine-learning techniques in programming languages like Python and MATLAB. This is often called 'data science' and is an increasingly important topic. Statistics and machine learning are also fundamental to artificial intelligence (AI) and business intelligence.

If you want to make yourself a future-proof employee, employer, data scientist, or researcher in any technical field -- ranging from data scientist to engineering to research scientist to deep learning modeler -- you'll need to know statistics and machine-learning. And you'll need to know how to implement concepts like probability theory and confidence intervals, k-means clustering and PCA, Spearman correlation and logistic regression, in computer languages like Python or MATLAB.

There are six reasons why you should take this course:
  • This course covers everything you need to understand the fundamentals of statistics, machine learning, and data science, from bar plots to ANOVAs, regression to k-means, t-test to non-parametric permutation testing.
  • After completing this course, you will be able to understand a wide range of statistical and machine-learning analyses, even specific advanced methods that aren't taught here. That's because you will learn the foundations upon which advanced methods are build.
  • This course balances mathematical rigor with intuitive explanations, and hands-on explorations in code.
  • Enrolling in the course gives you access to the Q&A, in which I actively participate every day.
  • I've been studying, developing, and teaching statistics for over 20 years, and I think math is, like, really cool.

What you need to know before taking this course:
  • High-school level maths. This is an applications-oriented course, so I don't go into a lot of detail about proofs, derivations, or calculus.
  • Basic coding skills in Python or MATLAB. This is necessary only if you want to follow along with the code. You can successfully complete this course without writing a single line of code! But participating in the coding exercises will help you learn the material. The MATLAB code relies on the Statistics and Machine Learning toolbox (you can use Octave if you don't have MATLAB or the statistics toolbox). Python code is written in Jupyter notebooks.
  • I recommend taking my free course called "Statistics literacy for non-statisticians". It's 90 minutes long and will give you a bird's-eye-view of the main topics in statistics that I go into much much much more detail about here in this course. Note that the free short course is not required for this course, but complements this course nicely. And you can get through the whole thing in less than an hour if you watch if on 1.5x speed!
  • You do not need any previous experience with statistics, machine learning, deep learning, or data science. That's why you're here!

Is this course up to date?

Yes, I maintain all of my courses regularly. I add new lectures to keep the course "alive," and I add new lectures (or sometimes re-film existing lectures) to explain maths concepts better if students find a topic confusing or if I made a mistake in the lecture (rare, but it happens!).

You can check the "Last updated" text at the top of this page to see when I last worked on improving this course!

What if you have questions about the material?

This course has a Q&A (question and answer) section where you can post your questions about the course material (about the maths, statistics, coding, or machine learning aspects). I try to answer all questions within a day. You can also see all other questions and answers, which really improves how much you can learn! And you can contribute to the Q&A by posting to ongoing discussions.

And, you can also post your code for feedback or just to show off -- I love it when students actually write better code than me! (Ahem, doesn't happen so often.)

What should you do now?

First of all, congrats on reading this far; that means you are seriously interested in learning statistics and machine learning. Watch the preview videos, check out the reviews, and, when you're ready, invest in your brain by learning from this course!

⚡ Limited Time Offer

Coupon valid until end of April 2026

Don't miss out — grab this Teaching & Academics course before the coupon expires.

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What is Master statistics & machine learning: intuition, math, code?

Master statistics & machine learning: intuition, math, code is a 38h 30m online course on Udemy taught by Mike X Cohen. It covers Statistics and is designed for learners who want to coding techniques in python and matlab/octave . With 32,897 students enrolled and a 4.8 star rating, it is one of the top-rated courses in Statistics on Udemy. Use the coupon above to access it at 94% OFF ($12.99).

About the Instructor

M

Mike X Cohen

Udemy Instructor · Teaching & Academics Expert

Mike X Cohen is an expert instructor on Udemy specializing in Teaching & Academics. Their course "Master statistics & machine learning: intuition, math, code" has helped 32,897 students master Statistics with a 4.8 star rating.

Course Information

Platform

Udemy

Instructor

Mike X Cohen

Duration

38h 30m

Language

English

Category

Teaching & Academics · Statistics

Rating

4.8 (32,897 enrolled)

Price

$12.99 $199.99 -94%

Last Updated

March 2026

Related Topics

Also available on: Udemy.com ↗
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Andrew Derek

Expert Reviewer

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Frequently Asked Questions

Is there a discount for Master statistics & machine learning: intuition, math, code?

Yes! Instead of paying $199.99, you can get Master statistics & machine learning: intuition, math, code for just $12.99 with our verified coupon — saving you $187.00 (94% OFF) today.

How do I apply the coupon code?

Simply click the "Get Udemy Coupon" button on this page. The discount is applied automatically to your checkout link — no manual entry needed.

How long is Master statistics & machine learning: intuition, math, code?

Master statistics & machine learning: intuition, math, code is approximately 38h 30m long. Udemy gives you lifetime access so you can learn at your own pace and revisit content anytime.

What will I learn in Master statistics & machine learning: intuition, math, code?

In Master statistics & machine learning: intuition, math, code by Mike X Cohen, you will learn: Coding techniques in Python and MATLAB/Octave ; Machine learning methods like clustering, predictive analysis, classification, and data cleaning ; How to interpret statistics correctly and avoid common misunderstandings . The course covers Statistics with 38h 30m of hands-on content.

What is Master statistics & machine learning: intuition, math, code?

Master statistics & machine learning: intuition, math, code is a 38h 30m online course on Udemy taught by Mike X Cohen. It covers Teaching & Academics with a 4.8 star rating from 32,897 enrolled students. Use our verified coupon to access it at $12.99 (94% OFF).