POM 681 - Business Analytics and Data Mining

Credits 3
Requirements: Prereq: POM 500 or equivalentLecture / 3 hours per week
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.
Graded
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