MSA 550 - Predictive Analytics (3 cr.)

This course covers the fundamental predictive analytics and data mining approaches applied in Business. It introduces basic concepts and techniques to discover patterns in data, identify variables with the most predictive power and develop predictive models. Topics covered in this course include multivariate data analysis, logistic regression, factor analysis, data mining, discriminant analysis, cluster analysis, decision trees and neural networks. Best practices on the selection of methods and tools to build predictive models will also be covered. The JMP Pro statistical software for SAS will be used in this course. JMP Includes an exploratory, graphical approach to both traditional statistics and data mining techniques.
Prerequisite(s): MSA 500, MSA 510.
Corequisite(s): MSA 530
Semester(s) Offered: Fall