Bayesian Statistical Concepts and Methods
By Coursera
on Coursera
· Data Science
About This Course
Welcome to Bayesian Statistical Concepts and Methods. In this course, you will use Bayesian methods in data analysis and modeling; work with posterior distributions, distributions without closed form, directed acyclic graphs, Markov Chain Monte Carlo algorithms; and employ R and the Stan platform for statistical modeling. You will also be introduced to Bayesian hierarchical models, which are useful for the interpretation of multi-level data (sub-group versus group).
Instructor
George Runger
Frequently Asked Questions
How much does Bayesian Statistical Concepts and Methods cost?
Visit the Bayesian Statistical Concepts and Methods course page for current pricing and available discounts.
Who teaches Bayesian Statistical Concepts and Methods?
Bayesian Statistical Concepts and Methods is taught by George Runger, Arizona State University.
What skill level is Bayesian Statistical Concepts and Methods for?
This course is designed for all levels learners.