Coursera – Specialization in Bayesian Statistics 2022-5 – Download

Description

The Bayesian Statistics Specialization is a training program in Bayesian statistics for forecasting and modeling published by Coursera Academy. In this training bundle, you will learn the basics of Bayesian statistics and strengthen your data analysis skills. This educational package includes diverse and scattered topics such as statistics, Bayesian statistics, Bayesian inference, R programming language, etc., and is a complete and comprehensive educational collection. This bundle consists of four separate courses and a fully practical project, and during its training process different Bayesian statistical methods such as ex-conjugate distribution, Monte Carlo Markov chain, mixture models, dynamic linear modeling. And… you will learn. All taught methods will be used to perform professional statistical analyses, build various information models and statistical forecasts.

What you will learn in the Bayesian statistics specialization

Bayesian inference
Time series forecasting
Bayesian hierarchical modeling
Data Science
R programming language
Analysis and analysis of information
Bayesian statistics and statistics and its different methods
Gibbs sampling
Markov model
Mixture model
forecast
dynamic linear modeling
time series

Course Specifications

Editor: Coursera
Instructors: Herbert LeeMatthew Heiner, Abel Rodriguez, Raquel Prado and Jizhou Kang
French language
Intermediate level
institution/university: University of California, Santa Cruz
Number of lessons: 5
Duration: Approximately 6 months to complete – Suggested pace of 4 hours/week