BAN 525 - Case Studies in Business Analytics

Course Description: This course will consist of case studies on using statistical methods for prediction in a number of business settings. The statistical methods that will be used in the cases follow the recent advances in forecasting with big data and includes methods such as decision trees and other classification models, neural networks and stepwise regressions. The JMP Pro software, which is available at UNCW, will be utilized in all cases. The course will also include a data intensive project, which is discussed further below, that will ask students to use the approaches introduced in the cases to forecast the U.S. economy or the stock market.

Credit Hours: 3

Corequisite Courses: None
Prerequisite Courses: BAN 500 and BAN 501 and BAN 502
Additional Restrictions/ Requirements: None
Course Repeatability: Course may not be repeated Maximum Repeatable Hours: 3

ADDITIONAL COURSE INFORMATION

Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None

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