DSAN 770 - Data Mining

The goal of this course is to study concepts and techniques of data mining through the following: introduce data mining and data mining strategies; understand, convert, reduce, impute, and transform data to be ready for modeling using different tools; successfully apply different decision trees and other predictive techniques; effectively apply segmentation/clustering and association rules tools; evaluate models’ performance; and create ensembles. Typically offered Fall, Spring, Summer.
Level: GR
Credit Hours: 3

Ferris Equivalencies:

Department: MKTG