This Specialization is intended for all learners seeking to develop proficiency in statistics, Bayesian statistics, Bayesian inference, R programming, and much more. Through four complete courses (From Concept to Data Analysis; Techniques and Models; Mixture Models; Time Series Analysis) and a culminating project, you will cover Bayesian methods — such as conjugate models, MCMC, mixture models, and dynamic linear modeling — which will provide you with the skills necessary to perform analysis, engage in forecasting, and create statistical models using real-world data.
What you'll learn
develop proficiency in statistics
understand Bayesian inference
apply R programming for statistical analysis
perform analysis and forecasting using Bayesian methods
Course objectives
to teach Bayesian statistics concepts
to provide practical experience through a culminating project
to explore advanced statistical models and analysis techniques