Bayesian Statistics Courses and Certifications

Microcredential

Bayesian Statistics Using R

Practical introduction to applied Bayesian data analysis using R, covering fundamentals, real-life applications, and advanced topics like latent variables, model averaging, and MCMC methods.

• edX
• 12 weeks, 5-10 hours a week
• On-Demand
• $338.00
• 2 courses

Bayesian statistics

6 ratings at OpenLearn

This free course is an introduction to Bayesian statistics. Section 1 discusses several ways of estimating probabilities. Section 2 reviews ideas of conditional probabilities and introduces Bayes’ ...

• OpenLearn
• 12 hours
• On-Demand
• Free Certificate

Richard McElreath

Bayesian Statistics Without Frequentist Language

Explore Bayesian statistics from a fresh perspective, focusing on its core concepts and applications without relying on traditional frequentist terminology.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Bayesian Data Analysis in Python

19 ratings at DataCamp

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Bayesian Modeling with RJAGS

In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Discover Bayesian statistics with R: represent your beliefs with the language of probability, collect some data and update your beliefs based on the evidence contained in the data.

• DataCamp
• On-Demand
• Free Trial Available

INI Seminar Room 2

Singular Learning Theory - Bayesian Statistics and Real Log-Canonical Thresholds - Part 1

Delve into Bayesian statistics and singular learning theory, exploring how statistical model performance relates to real analytic function singularities and their applications in machine learning interpretability.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Broad Institute

A Practical Primer on Bayesian Statistics (2025)

Discover the fundamentals of Bayesian statistics in biomedical research with Sarah Urbut from MGH and Broad Institute, covering biobank development principles and applications in medical and population genetics.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Ox educ

Bayesian Statistics - A Comprehensive Course

Comprehensive introduction to Bayesian statistics, covering key concepts, probability distributions, and practical applications with minimal mathematical complexity.

• YouTube
• 6 hours
• On-Demand
• Free Video

Bayesian Statistical Concepts and Methods

Master Bayesian methods for data analysis using posterior distributions, MCMC algorithms, and hierarchical models with R and Stan platform implementation.

• Coursera
• 5 hours 30 minutes
• On-Demand
• Paid Course

Applied Bayesian for Analytics

Learn how to construct, fit, estimate and compute Bayesian statistical models with the help of OpenBUGS (freely available software)

• edX
• 6 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Advanced Statistical Techniques for Data Science

48 ratings at Coursera

Master advanced statistical techniques for data science including regression, model diagnostics, variable selection, Bayesian statistics, and data preparation for complex analysis.

• Coursera
• 16 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Richard McElreath

Statistical Rethinking Fall 2017

Master Bayesian statistical methods and causal inference through comprehensive lectures accompanying the acclaimed "Statistical Rethinking" book by Richard McElreath.

• YouTube
• 19 hours 46 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking - Winter 2015

Discover Bayesian statistical methods and causal inference through comprehensive lectures that challenge traditional statistical thinking and build practical modeling skills.

• YouTube
• 1 day 2 hours 27 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2023 - The Garden of Forking Data

Explore Bayesian statistics through the "Garden of Forking Data" metaphor. Learn about generative models, probability, testing, and posterior distributions for improved statistical reasoning and prediction.

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Video