University of Minnesota, Twin Cities campus

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IDSC 6446 - Business Analytics for Managers II
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
This course builds upon IDSC 6444 ?Business Analytics for Managers I? course. While IDSC 6444 focuses on the fundamental and most widely used data mining/analytics techniques, IDSC 6446 ?Business Analytics for Managers II? delves into a number of other current and emerging data mining/analytics areas that are becoming increasingly important for modern organizations. Such areas include advanced elements of predictive modeling process, cost-aware data mining/analytics, mining text and Web data, advanced data mining techniques, and other advanced topics. This course promotes practical data-analytic thinking and decision making, covers a number of fundamental issues, and introduces students to a number of analytics techniques in the aforementioned areas. The students will be able to apply these techniques to design and test data mining models in different settings, using real world datasets. This course will also discuss the value of advanced data mining/analytics in a variety of organizational contexts and business applications.