Applied Data Analytic Research

Catalog description

Business intelligence and analytics are more important than ever in the changing competitive landscape. Students will use applied research methods to investigate practical business intelligence issues and prepare a research paper that provides empirical evidence supporting conclusions. Students will learn topics such as wrangling and cleaning data, data visualization, decision trees, clustering, and factor analysis/principal components analysis.