Administrative Sciences Summer Courses

Business Analytics Foundations

MET AD 571

Prereq: (MET AD 100 Pre-Analytics Laboratory & MET ADR 100 Introduction to R). Presents fundamental knowledge and skills for applying business analytics to managerial decision-making in corporate environments. Topics include descriptive analytics (techniques for categorizing, characterizing, consolidating, and classifying data for conversion into useful information for the purposes of understanding and analyzing business performance); predictive analytics (techniques for detection of hidden patterns in large quantities of data to segment and group data into coherent sets in order to predict behavior and trends); and prescriptive analytics (techniques for identification of best alternatives for maximizing or minimizing business objectives). Students learn how to use data effectively to drive rapid, precise, and profitable analytics-based decisions. The framework of using interlinked data-inputs, analytics models, and decision-support tools is applied within a proprietary business analytics shell and demonstrated with examples from different functional areas of the enterprise. R, SQL, and Power BI software are used in this course. 4 cr.

• Summer 1 (May 20-June 27)
• Summer 2 (June 30-August 8)