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STAT 642 Data Mining for Business Analytics 3.0 Credits

This course introduces students to the methods of data mining and how to apply them to business problems. Included are logistic regression, trees, neural networks, support vector machines, and marketbasket analysis. Data preparation, visualization, and feature selection also are addressed, as are boosting and random forests.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is PhD.
Prerequisites: STAT 610 [Min Grade: C]

MBA Programs

http://catalog.drexel.edu/graduate/collegeofbusiness/businessadministration/

...624 , FIN 626 , FIN 642 , FIN 650 & FIN...MKTG 510 2.0 STAT 510 2.0...

MPH/MBA Joint Degree

http://catalog.drexel.edu/graduate/schoolofpublichealth/mphmba/

...in Accounting (ACCT), Statistics (STAT), Economics (ECON), Finance...624 , FIN 626 , FIN 642 , FIN 650 & FIN...

Quantitative Finance

http://catalog.drexel.edu/graduate/collegeofbusiness/quantitativefinance/

...Learning Requirement 3.0 STAT 610 3.0...790 3.0 FIN 642 3.0 9...

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