BAN 615 - Predictive Modeling
 
(3 cr.) The course introduces the techniques of predictive modeling and analytics in a data-rich business environment. It covers the process of formulating business objectives, data selection, preparation and partition to successfully design, build, evaluate and implement predictive models for a variety of practical business applications (such as direct marketing, cross selling, customer retention, delinquency and collection analytics, fraud detection, machine failure detection and insurance underwriting). Students also study predictive models such as classification and decision trees, neural networks, regressions, association analysis, link analysis and others. Every Year, Fall and Spring
 
Sessions

Spring 2015