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. Co-convened with ISM 440. Letter grade only.
Sections offered: Fall 2022
Prerequisite: ACC 300 or ISM 360