Bayesian Statistics Courses and Certifications

Probabilistic AI School

Better Priors for Everyone - Keynote

Explore advanced techniques for improving prior distributions in probabilistic models, enhancing Bayesian inference across various applications.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking - Measurement Models - Lecture B07

Explore measurement models in Bayesian statistics to handle uncertainty and error in data collection and analysis.

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

Richard McElreath

Statistical Rethinking 2026 - Estimands and Estiplans - Lecture A05

Discover the fundamental concepts of estimands and estimation plans in statistical modeling and causal inference methodology.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2026 - Multilevel Model Expansion - Lecture B02

Explore advanced multilevel modeling techniques and their practical applications in statistical analysis and data interpretation.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2026 - Geocentric Models - Lecture A03

Explore geocentric models in statistical thinking through hands-on analysis and theoretical foundations with practical applications.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

UofU Data Science

Bayesian Learning: Connection to Least Mean Square Regression - Lecture 23a

Delve into Bayesian learning concepts and their connection to least mean square regression in this continuation of the series.

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

Foundations of Probability in R

472 ratings at DataCamp

Probability is the study of making predictions about random phenomena.

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

Fundamentals of Bayesian Data Analysis in R

226 ratings at DataCamp

Bayesian data analysis is an approach to statistical modeling and machine learning that is becoming more and more popular.

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

Applied Statistics in Python

Dive into the world of Python-based statistical analysis with this comprehensive track designed to equip you with the essential skills to make data-driven decisions.

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

Bayesian Statistics: Time Series Analysis

18 ratings at Coursera

Model temporally dependent data in R: fit AR(1) and AR(p) processes and normal dynamic linear models, with Bayesian filtering, smoothing, and forecasting.

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

Eindhoven University of Technology

Improving your statistical inferences

805 ratings at Coursera

Learn to interpret p-values, effect sizes, confidence intervals and Bayes factors, run a-priori power analyses and p-curve analysis, and pre-register studies on the Open Science Framework.

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

Fundamentals of Scientific Research Under Uncertainty

43 ratings at Coursera

Research as systematic uncertainty reduction: survey the research landscape, distinguish science from pseudoscience, apply conditional probability and Bayes' Rule, and plan hypothesis tests.

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

Bayesian Machine Learning in Python: A/B Testing

8050 ratings at Udemy

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

• Udemy
• 10 hours 27 minutes
• Self-Paced
• Paid Course

Career Certificate

Modern Statistics for Data-Driven Decision-Making

6 ratings at Coursera

Learn probability, statistical inference and regression analysis, then apply Bayesian methods, classification and planned experiments using statistical computing in R to make data-driven decisions.

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

Data Science: Inference and Modeling

51 ratings at edX

Learn inference and modeling, two of the most widely used statistical tools in data analysis.

• edX
• 8 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)