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IDS 472 - Business Data Mining

Campus: Chicago

Description:

Data mining for business insights and decisions. Classification, trees, random forests, naive Bayes, clustering, association rules, neural nets, recommender systems, text mining. Hands-on application to problems in finance, marketing, and operations. Course Information: 3 undergraduate hours. 4 graduate hours. Credit is not given for IDS 472 if the student has credit for IDS 572. Prerequisite(s): IDS 371 or the equivalent.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 3

Term(s): Spring

Option 2

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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