Awesome Free Statistics Resources You Should Know
Best Free Statistics Books and Courses
Bayesian Data Analysis
The classic textbook by Andrew Gelman and others.
Free PDF available.
Covers everything from basic probability to advanced hierarchical models.
Used in universities worldwide.
Book: sites.stat.columbia.edu/gelman/book/BDA3.pdf
Regression and Other Stories
Another Gelman book. Focuses on practical regression analysis with real examples.
Great for learning how to actually do statistics.
Book: users.aalto.fi/~ave/ROS.pdf
Code examples: avehtari.github.io/ROS-Examples
Information Theory, Inference, and Learning Algorithms
David MacKay's masterpiece. Covers information theory, machine learning, and Bayesian inference.
Clear explanations with practical examples.
Book: www.inference.org.uk/itprnn/book.pdf
Practical Tools and Tutorials
PyMC Documentation
Learn Bayesian modeling with Python. Step-by-step tutorials from basic to advanced.
Includes real-world examples.
Link: www.pymc.io/projects/docs/en/stable/learn.html
Probabilistic Programming and Bayesian Methods for Hackers
Learn Bayesian methods through code. Uses Python and PyMC.
Interactive examples you can run yourself.
Link: github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
MLU Explain: Linear Regression
Visual, intuitive explanations of statistical concepts.
Great for beginners or anyone who wants to understand the intuition behind the math.
Link: mlu-explain.github.io/linear-regression/
Why These Resources Rock
- All free: No paywalls, no subscriptions
- Practical: Focus on real applications, not just theory
- Modern: Include code examples in Python and other languages
- Comprehensive: Cover everything from basics to advanced topics
- Well-written: Clear explanations that actually make sense
That's it. These resources will take you from statistics beginner to expert without costing a dime.
Crepi il lupo! 🐺