Bayesian Statistics

Coursera MOOC / Non-credit USD 79
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Bayesian Statistics

About this course

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

Skills you'll gain

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