Advanced Analytics

Catalog description

The course focuses on the application of machine learning methods explored in Analytics I, which use data and statistical techniques to predict outcomes. Students will learn through a hands-on approach to build and tune models using R to predict categorical and continuous outcomes, test those models, interpret and present the results. The focus will be on applying advanced machine learning models implemented in R while balancing the trade-off between prediction power and model interpretability. The course covers how to formulate a model for a given decision problem, perform analysis to generate insights, and effectively communicate those insights. Prerequisite: MBA-526