Free Online Bayesian Statistics Courses & MOOCs

Coursera

Duke University

Bayesian Statistics (Coursera)

Statistics & Data Analysis Data Science

Embark on an enlightening journey into the world of Bayesian Statistics with this engaging Coursera course. Master the art of updating your inferences based on accumulating evidence, learning to transform prior probabilities into insightful posterior probabilities. Delve into the theory and perspective that underpin the Bayesian approach, equipping you with a powerful toolset for data analysis.

Aug 17th 2026

5-12 Weeks

Statistics Data Analysis R Programming

Coursera

Eindhoven University of Technology

Improving your statistical inferences (Coursera)

Statistics & Data Analysis Data Science

Unlock the secrets to making better statistical inferences from empirical research with our expert-led online course. Gain a deep understanding of key concepts like p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios. Learn how to design experiments that effectively control false positive rates and determine the right sample size for your study to achieve high statistical power.

Aug 10th 2026

5-12 Weeks

Statistics Statistical Inference Confidence Intervals

Coursera

University of California, Santa Cruz

Bayesian Statistics: Techniques and Models (Coursera)

Statistics & Data Analysis Data Science

Expand your understanding of Bayesian statistics by delving into more complex techniques and models. This course builds on foundational concepts, equipping you with advanced tools for analyzing real-world datasets effectively.

Aug 10th 2026

5-12 Weeks

Monte Carlo Method ANOVA Statistical Modeling

Coursera

University of Michigan

Fitting Statistical Models to Data with Python (Coursera)

Data Science

Expand your understanding of statistical inference by learning how to fit statistical models to data effectively with Python. This course builds on foundational concepts, focusing on connecting research questions to analysis methods, predicting future observations, and drawing meaningful conclusions from your data.

Aug 3rd 2026

4 Weeks

Python Statistics Data

Coursera

University of Colorado Boulder

Classification Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the 'Classification Analysis' course and unlock a deep understanding of how to classify data using various powerful algorithms. This comprehensive course on Coursera will guide you through key classifiers like K-Nearest Neighbors (KNN), Decision Trees, Support Vector Machines (SVM), Naive Bayes, and Logistic Regression. You'll gain practical experience by applying these techniques to actual datasets, enhancing your ability to perform data analysis effectively.

Aug 3rd 2026

5-12 Weeks

Classification Logistic Regression Support Vector Machines

Statistical Inference and Modeling for High-throughput Experiments (edX)

EdX

HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into Statistical Inference and Modeling for High-throughput Experiments to gain a deep understanding of statistical techniques applied to large-scale biological datasets. This course covers essential topics such as error rate controlling procedures, false discovery rates, q-values, and parametric modeling with applications in high-throughput data analysis.

Self Paced

Self-Paced

Statistics Modeling Statistical Inference

Coursera

University of California, Santa Cruz

Bayesian Statistics: Mixture Models (Coursera)

Statistics & Data Analysis

Dive into the world of Bayesian Statistics with 'Bayesian Statistics: Mixture Models' on Coursera. This comprehensive course is designed to equip you with an in-depth understanding of mixture models, a powerful tool for analyzing complex data structures. Through engaging video lectures, interactive quizzes, and hands-on assignments, you'll explore real-world applications and develop the skills needed to tackle sophisticated statistical problems.

Jul 27th 2026

5-12 Weeks

Statistics Data Analysis Statistical Models

Introduction to Bayesian Statistics Using R (edX)

EdX

University of Canterbury,UCx

Introduction to Bayesian Statistics Using R (edX)

Statistics & Data Analysis Data Science

Embark on a foundational exploration of Bayesian statistics with this introductory course designed for beginners. Master the basics of Bayesian Data Analysis and practice solving practical problems using R, setting the stage for advanced studies in data analysis across various fields such as epidemiology, ecology, economics, and political sciences.

Self Paced

Self-Paced

Data Mining Data Analysis ANOVA

Advanced Bayesian Statistics Using R (edX)

EdX

University of Canterbury,UCx

Advanced Bayesian Statistics Using R (edX)

Statistics & Data Analysis Data Science

Take your understanding of Bayesian inference to the next level with our Advanced Bayesian Data Analysis Using R course. This professional program builds on foundational knowledge to explore complex topics such as modeling latent variables, Bayesian model averaging, generalised linear models, and Markov Chain Monte Carlo (MCMC) methods. Utilize R for practical application and deepen your expertise in statistical analysis.

Self Paced

Self-Paced

Calculus Algorithms Machine Learning