CIS 6640 - Predictive Analytics and Data Mining

This course provides students with an understanding of analytical techniques from business analytics, business intelligence and data mining to make practical business predictions and other data-driven decisions. Students will learn a variety of techniques to perform predictive and other forms of analytics, including data preparation, classification, prediction, clustering, regression, association, cross validation, performance evaluation, anomaly detection, etc. Practical real life data (numeric and text) will be analyzed.

Prerequisites/Corequisites: Prerequisite: Admission to the MBA or MSA program or the approval of the Director, Graduate Advising and Admissions.

Credits: 3 hours

Notes: Open to graduate students only.