Welcome to Intuitive Bayes

Intuitive Bayes is everything you need to learn Bayesian Statistics. It's a community, a series of courses, and a collection of many other resources. All designed to get you from Bayes curious to practitioner fast

Course Catalog

All courses use a code first approach to build and understand the fundamentals. You'll be using tools such as PyMC and ArviZ with a hands-on learning style. These are the same tools professionals use everyday.

Introductory Course

Bayes Theorem is a widely applicable idea that is even easier to use with modern code libraries that can be deployed in any organization. In this course, we will learn Bayesian fundamentals through hands-on code and practical examples.

Advanced Regression

Bayesian regression can solve a variety of real world problems. In this course, we'll use modern packages such as PyMC and Bambi. We'll answer questions about product pricing, election estimation, and more.

Gaussian Processes

Gaussian processes are an incredible tool for modeling and optimization, but challenging mathematics and difficulty scaling to larger datasets prevent their wider adoption in practice. In this course, we'll build an understanding of how to use Gaussian processes effectively in real-world scenarios and which approaches work best when faced with big data sets.

Practical MCMC

Markov Chain Monte Carlo is one of the most utilized tools for modern Bayesian practitioners. It's an algorithm which enables Inference in many settings and models. In this course, we'll provide an in-depth understanding of the algorithm that makes it all possible.

Meet your instructors

Professionals and OSS Core Contributors

Alex Andorra

Tomas Capretto

Bill Engels

Ravin Kumar

Osvaldo Martin

Thomas Wiecki

Testimonials

What others have to say about Intuitive Bayes

I recommend Intuitive Bayes as a great place to start or continue your journey to knowing how to apply Bayesian statistics to real world applications. The course will walk you through actually writing code to inform decisions in a step-by-step way.

William Cox Staff, Data Scientist at Grubhub


The Intuitive Bayes Course is a labor of love. Students are familiarized with key Bayesian concepts through a series of concise video lectures. The material is clearly explained and closely integrated with Python code through PyMC. This is a hands-on course that showcases the ease and flexibility with which Bayesian models can help address real-world questions.

Ej Wagenmakers, Professor at the University of Amsterdam

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