# Bayesian Statistics

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 | 🗋 | |

2017 | The most approachable and easy-to-understand introductory Bayesian course. | Easy | 🗋 |

Resource | Year | Description | Type |

2012 | A short and approachable textbook on Bayesian Statistics that is freely available online. | 📚 | |

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. | 🎥 | |

2018 | A great visual introduction to Bayesian Inference. | 🌐 | |

2015 | An introduction to Bayesian Statistics with code examples in a long-form blog post. | 🌐 |

Last modified 1yr ago