Probability Models for Analytics

Catalog description

The course is designed to provide an introductory understanding of the fundamentals of uncertainty quantification in business decision making. The course will serve as a building block for subsequent course work in inferential statistics, predictive analytics, time series analysis, and unstructured data analysis. The topics include the axioms of probability theory, random variables, probability distributions, and regression models. An introduction to the programming language R will be part of the learning experience.