Bayesian Statistics

Bayesian Stats Courses
Prerequisites: Foundation courses
Recommended path
If you are looking for the most complete course, take the Statistical Rethinking course.
If you are looking for the shortest or most compact course, go for Ben Lambert's course.
If the topic seems scary to you or you'd prefer a more approachable course, take a look at Stats 331.
Course
Year
Description
Difficulty Level
Resources
Richard McElreath - Statistical Rethinking: A Bayesian Course with Examples in R and Stan​
2019
The best overall introduction to Bayesian Statistics as it gives a comprehensive overview of the topic with plenty of fun examples and a computational perspective.
Easy-Medium
​🤖​
Ben Lambert - A Student's Guide to Bayesian Statistics​
2018
The best course to quickly get an overview of the topic or to review introductory Bayesian Statistics.
Easy-Medium
🗋
University of Auckland - Stats 331 Intro to Bayesian Statistics​
2017
The most approachable and easy-to-understand introductory Bayesian course.
Easy
🗋
​
Supplementary Resources
Resource
Year
Description
Type
Downey - Think Bayes: Bayesian Statistics Made Simple​
2012
A short and approachable textbook on Bayesian Statistics that is freely available online.
📚
Gelman et al. - Bayesian Data Analysis​
2020
A comprehensive textbook that dives deep into Bayesian Inference.
📚
David MacKay - Lectures on Bayesian Inference​
2012
The late David MacKay held some amazing lelctures as part of his "Information theory, pattern recognition and neural networks" book/course. His lectures are definitely worth watching.
🎥
Seeing Theory - Bayesian Inference​
2018
A great visual introduction to Bayesian Inference.
🌐
Fabian Dablander - Bayesian Statistics: Why and How​
2015
An introduction to Bayesian Statistics with code examples in a long-form blog post.
🌐

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Bayesian Stats Courses

Supplementary Resources

Bayesian Stats Courses

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Supplementary Resources