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STAT 331 Introduction to Data Mining for Business 4.0 Credits

This course introduces students to the fundamental ideas of data mining methods, including dimension reduction, cluster, classification and regression trees, and logistic regression. The emphasis is understanding the application of methods rather than on mathematical and computational foundations. All applications are business-oriented.

College/Department: Bennett S. LeBow Coll. of Bus./Decision Sciences
Repeat Status: Not repeatable for credit
Prerequisites: STAT 202 [Min Grade: C-] or STAT 206 [Min Grade: C-]