Undergraduate Catalog 2019-2020

ISI 334 Business Intelligence and Analytics(RNL)

4 hours; 4 credits. An introduction to the tools and techniques of data analytics for gaining business intelligence to support reliable decision making. It introduces data warehouse and data marts concepts and data mining techniques for analytical reporting, trend analysis, performance analysis, what-if analysis and predictive analysis. Students will learn the different aspects of business data analytics, such as identifying data sources, extracting , combining, exploring, analyzing, modeling, visualizing, and interpreting data. Not open to students that have completed BUS 334. Prerequisite: CSC 315 and ECO 230/MGT 230.