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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.
4.7 ★★★★★31,988 studentsCreated by Mike X CohenLast updated Dec 13, 2025🌐 English

What you'll 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 math behind the "black box" statistical methods
T-tests, correlation, ANOVA, regression, clustering
Descriptive statistics (mean, variance, etc)
Inferential statistics

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.

Description

Frequently Asked Questions

Student Feedback

4.7
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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Master statistics & machine learning: intuition, math, code
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This course includes:
  • 📺 38h 30m on-demand video
  • 📱 Access on mobile and TV
  • ♾️ Full lifetime access
  • 🏆 Certificate of completion