BA 510 Predictive Analytics, Relational Database, & Data Transformation 3 Cr.
The use of predictive analytics includes a variety of statistical and machine learning techniques and applications in a business environment. The primary goal of predictive analytics is to discover and apply relationships found in datasets in order to make predictions about the future or otherwise unknown events. In this hands-on course, students will be introduced to concepts related to constructing, testing, and applying quantitative models in various business settings. From this perspective, students will utilize major software tools in order to conduct an analysis of continuous, classification and clustering models. Upon completion of this course, students will gain insight into how models are constructed and how predictive models can improve business. Pre-req: successful completion of BA 500 and BA 501 COURSE UNDER CONSTRUCTION; AWAITING APPROVAL BY UNIVERSITY CURRICULUM COMMITTEE.