University of Illinois Chicago 4 credits Finance Information and Decision Sciences
Hands-on introduction to how data analytics and machine learning drive value in industry. Case studies from healthcare, marketing, operations, finance, or high-tech. Topics include data exploration, predictive models, clustering, recommender systems. Course Information: Credit is not given for IDS 516 if the student has credit in IDS 572, or enrolled in the MS Management Information Systems program or the MS Business Analytics. Prerequisite(s): IDS 270 and IDS 371; or consent of the instructor.
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