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: Fall 2019 Winter 2019 Spring 2020
Prerequisite: CIS 360 with a grade of C or better and Business Professional Program Milestone