Bayesian Statistics Courses and Certifications

Bayesian Regression Modeling with rstanarm

69 ratings at DataCamp

Bayesian estimation offers a flexible alternative to modeling techniques where the inferences depend on p-values.

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

Bayesian Modeling with RJAGS

52 ratings at DataCamp

The Bayesian approach to statistics and machine learning is logical, flexible, and intuitive.

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

Bayesian Thinking

7 ratings at Corporate Finance Institute

Bayesian Thinking Course is for data professionals who want to apply an understanding of statistics to solve business problems

• Corporate Finance Institute
• 1 hour 27 minutes
• Self-Paced
• Paid Course

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

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

Apply Bayesian methods to data analysis: work with posterior and posterior predictive distributions, directed acyclic graphs, Markov chain Monte Carlo, and hierarchical models using R and Stan.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Career Certificate

Applied Bayesian Data Analysis

Master Bayesian inference with conjugate priors and MCMC, then apply Bayesian regression, hierarchical and generalized linear models, variational inference, and non-parametric methods using probabilistic programming tools.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Bayesian Regression and Model Selection

Build Bayesian regression models with pymc: place priors on coefficients, fit hierarchical, logistic and Poisson models, and compare models via posterior predictive checks.

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

Computational Bayesian Statistics for Data Science

Approximate posteriors when algebra fails: compute MAP estimates by gradient ascent, run rejection sampling, Gibbs and Metropolis-Hastings MCMC, and fit Bayesian models with Stan in R.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• 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
• Self-Paced
• Free Certificate

Bayesian Probability

Learn the math behind uncertainty — and how to get rid of it!

• Brilliant
• 4 hours
• Self-Paced
• Paid Course

Richard McElreath

Statistical Rethinking 2022 - Categories, Curves & Splines

Explores Bayesian causal inference for categorical effects, polynomial curves, and splines.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2023 - Geocentric Models

Introduces geocentric statistical modeling through Gaussian distributions, generative models, model notation, workflow, and analysis.

• YouTube
• 1 hour 14 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

Toronto Machine Learning Series (TMLS)

Building a Measurement System for Personalization - A Bayesian Approach

Explore Bayesian approaches for measuring personalization effectiveness, optimizing customer assignments, and designing MLOps-inspired measurement platforms for complex hierarchical experiments.

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