Master statistics & machine learning: intuition, math, code — 94% OFF Discount Coupon

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

★4.7 out of 5
33,100 students
Created by Mike X Cohen
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Master statistics & machine learning: intuition, math, code before you enroll:

•Course Name: Master statistics & machine learning: intuition, math, code
•Platform: Udemy
•Instructor: Mike X Cohen
•Coupon Last Verified: May 2, 2026
•Level: Advanced
•Topic: Teaching & Academics
•Subtopic: Statistics
•Total Time: 38h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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
•Requirements: Good work ethic and motivation to learn · Previous background in statistics or machine learning is not necessary.
•Current Price: $11.99 (was $199.99). You save $188.00 with 94% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Master statistics & machine learning: intuition, math, code, you'll have these practical skills:

✓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.

What You Need Before Starting

Before enrolling in Master statistics & machine learning: intuition, math, code, make sure you have:

•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 Course

The following is the full official course description for Master statistics & machine learning: intuition, math, code as published on Udemy by instructor Mike X Cohen:

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!

Compare Similar Courses

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Is the Master statistics & machine learning: intuition, math, code Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 2, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Master statistics & machine learning: intuition, math, code is a high-value resource for learners seeking to build skills inTeaching & Academics. Taught by Mike X Cohen on Udemy, the 38h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 94%, from $199.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 94% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 33,100 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Master statistics & machine learning: intuition, math, code:

  • The depth of Teaching & Academics coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Master statistics & machine learning: intuition, math, code Course holds an aggregate rating of 4.7 out of 5 based on 33,100 student reviews on Udemy.

4.7
★★★★★
33,100 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Mike X Cohen, the instructor responsible for creating and maintaining Master statistics & machine learning: intuition, math, code on Udemy.

Master statistics & machine learning: intuition, math, code is taught by Mike X Cohen, a Udemy instructor specializing in Teaching & Academics. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Mike X Cohen
•Subject Area: Teaching & Academics
•Teaching Approach: Practical, project-based instruction focused on real-world application of Teaching & Academics skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Master statistics & machine learning: intuition, math, code, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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