Coursera – Applied Bayesian Data Analysis Specialization
Released 5/2026
By Konstantinos Pelechrinis – University of Pittsburgh
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 61 Lessons ( 4h 10m ) | Size: 1.4 GB
Master Bayesian Methods for Data Analysis.
What you’ll learn
⚡ Apply Bayes’ theorem, conjugate priors, and MCMC methods to perform Bayesian inference and construct credible intervals for parameter estimation.
⚡ Build and validate Bayesian regression models including linear, hierarchical, and GLM models for predictive analytics and model comparison.
⚡ Implement advanced Bayesian methods-variational inference and non-parametric modeling-for complex data analysis and Bayesian decision theory.
