Data Analytics ((4 Credits))

Catalog description

Theory of data driven decision making is put into practice by leveraging data to create strategic level business intelligence. Relational data is analyzed in an experiential environment for execution and interpretation of querying and decision making procedures, visualizations of information summaries, and decision validation for strategic level decision making. Students learn to combine industry experience, context, and intuition with analytical outcomes. Prerequisite: (must complete before registering): Introduction to Business Analytics with Microsoft Excel or equivalent