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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
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
🤖
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
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.
📚
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.
🌐