DS 510 - Applied Business Statistics

(3.00 cr.)

Provides an up-to-date coverage of the relevant tools and techniques for intermediate to advanced data analysis. Statistical modeling combined with current computing power has shaped the landscape of modern business. Fields that have taken enormous advantage of this technology and grown exponentially in recent years include information driven marketing and data mining. This course stresses a hands-on approach towards understanding and applying these techniques to various business problems. Topics include data summary and presentation, advanced linear regression analysis, modeling discrete dependent variables, and policy evaluation. Time series forecasting is also included. Excel and cases are used. Intermediate Excel skills required. DS 510 is a program prerequisite and does not count toward the graduate degree and does not calculate in the cumulative GPA on the transcript. Must be passed with a B or better.

Restrictions: Restricted to Data Science students.

Sessions Typically Offered: Fall/Spring/Summer
Years Typically Offered: Annually