POM 681: Business Analytics&Data Mining

Prerequisite: POM 500 or equivalent

Introduction to business analytics and data mining. Topics covered include data mining, exploratory data analysis, methods for classification and prediction, affinity analysis, multiple regression, logistic regression, discriminant analysis, and clustering. Applications of business analytics and data mining methodologies to a wide variety of real world business data are included.

Course information

3.00 credits
Section 01: Graduate Lecture

Location: CCB-248

Class: #14613

Wed, Sep 4, 2019 - Mon, Dec 9, 2019


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