Core

Specializations

Bayesian Statistics

Bayesian Stats Courses

Prerequisites: Foundation courses

- 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

π

2017

The most approachable and easy-to-understand introductory Bayesian course.

Easy

π

Resource

Year

Description

Type

2012

A short and approachable textbook on Bayesian Statistics that is freely available online.

π

2020

A comprehensive textbook that dives deep into Bayesian Inference.

π

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.

π₯

2015

An introduction to Bayesian Statistics with code examples in a long-form blog post.

π

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