Description: Data analytics for business intelligence and decision making. Topics include the use of historical business data for quantitative analysis, data mining, predictive modeling, data warehousing, reporting, and decision making techniques, encompassing functional areas like marketing and finance. Letter grade only. Course fee required.
Sections offered: Spring 2017 Fall 2017
Prerequisite: ISM 360 with a grade of C or better and Business Professional Program Milestone