Gated course
Bayesian Statistics in Practice
Develop intuition for Bayesian reasoning and hands-on skills in probabilistic programming.
AudienceAnalysts, researchers, data scientists, and decision-makers who need uncertainty estimates that survive scrutiny.
PrerequisitesProbability basics, regression familiarity, and comfort interpreting intervals and simulated quantities.
Final artifactA Bayesian model criticism report covering priors, computation, posterior predictive checks, comparison, and recommendation.
TimeAbout 4-5 hours