2017-2018 Undergraduate Catalogue Archived Catalogue
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BAN 384 - Data Mining Techniques and Applications Credits: 3
Prerequisite: BAN 280 or STT 215 . Solving problems in Business Environment by using Data Mining Techniques. This course covers modeling techniques such as decision trees, multiple regression, logistic regression, rural networks, cluster analysis, and survival analysis. The focus of this class is hands-on learning of how to use these techniques to solve business problems using SAS Enterprise Minor extensively.
Click here for the Fall 2024 Class Schedule.
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