Bayesian Statistics Courses and Certifications

Bayesian Data Analysis in Python

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

• DataCamp
• 4 hours
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Trial Available

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
• Self-Paced
• Free Video

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Paid Course

Career Certificate

Advanced Statistical Techniques for Data Science

49 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/week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Applied Bayesian Data Analysis

Master Bayesian statistical methods, from foundational inference and MCMC to hierarchical models and probabilistic programming, with real-world applications in healthcare, sports analytics, and business.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Bayesian Regression and Model Selection

Master Bayesian linear regression, hierarchical models, and GLMs using PyMC. Explore model selection, posterior predictive checks, and Occam's razor while contrasting Bayesian and frequentist approaches.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Geocentric Models

Explore Bayesian linear regression, covering model language, generative and statistical approaches, validation, and posterior predictions for a comprehensive understanding of statistical modeling.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Steve Brunton

Conjugate Priors Example - Normal Distribution and the Exponential Family of Distributions

1 rating

Explore conjugate priors through Normal distributions and the Exponential Family, demonstrating how Normal likelihoods pair with Normal priors for Bayesian inference.

• YouTube
• 19 minutes
• Self-Paced
• Free Video