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
β€‹πŸ€–β€‹
2018
The best course to quickly get an overview of the topic or to review introductory Bayesian Statistics.
Easy-Medium
πŸ—‹
University of Auckland - Stats 331 Intro to Bayesian Statistics​
2017
The most approachable and easy-to-understand introductory Bayesian course.
Easy
πŸ—‹

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Supplementary Resources

Resource
Year
Description
Type
2012
A short and approachable textbook on Bayesian Statistics that is freely available online.
πŸ“š
Gelman et al. - Bayesian Data Analysis​
2020
A comprehensive textbook that dives deep into Bayesian Inference.
πŸ“š
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.
πŸŽ₯
Seeing Theory - Bayesian Inference​
2018
A great visual introduction to Bayesian Inference.
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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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