Gibbs Sampling

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.

May 18th 2026

5-12 Weeks

Monte Carlo Method ANOVA Statistical Modeling

Coursera

Databricks

Bayesian Inference with MCMC (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Bayesian statistics with 'Bayesian Inference with MCMC' on Coursera. This course is designed to equip you with essential skills in Markov Chain Monte Carlo (MCMC) methods for performing complex Bayesian analyses. Starting from the basics, you'll learn how to apply these algorithms effectively using Python and Jupyter notebooks, focusing on PyMC3 for practical Bayesian modeling.

Jan 13th 2025

3 Weeks

MCMC Coursera Plus Bayesian Inference

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