Coursera - Applied Bayesian Data Analysis Specialization

Coursera - Applied Bayesian Data Analysis Specialization
https://WebToolTip.com
Released 5/2026

By Konstantinos Pelechrinis - University of Pittsburgh

MP4 | Video: h264, 1280x720 | 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.

⚡ Apply probabilistic programming and Bayesian workflows to real-world applications in sports analytics, healthcare, and data-driven decision-making.
Skills you'll gain

? Bayesian Statistics

? Data Analysis

? Data Science

? Machine Learning

? Markov Model

? Mathematical Modeling

? Model Evaluation

? Predictive Analytics

? Predictive Modeling

? Probability & Statistics

? Probability Distribution

? Regression Analysis

? Sampling (Statistics)

? Statistical Analysis

? Statistical Inference

? Statistical Machine Learning

? Statistical Modeling

? Statistical Programming

? Statistics

? Show all