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