POM 681: Business Analytics&Data Mining - summer

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.

Class#SctTypeSeatsUnits
2888 7101 Lecture 25 3.00
Days Location
MON TUE WED THU FRI SAT Online
Instructor: Bharatendra Rai Class status:
Prerequisite: POM 500 or equivalent
Enrollment Section
Class instruction mode: On-Line