DS 768 (02) - Forecasting Analytics

Durham   Paul College of Business&Econ :: Decision Sciences
Credits: 4.0
Term: Spring 2019 - Full Term (01/22/2019 - 05/06/2019)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53425
The course focuses on Predictive Analytics. Businesses and organizations need to be able to forecast effectively in order to make decisions. Students learn the background necessary to deelop forecasts for real-world business situtations. An applied, hands-on approach is used in the course. Students learn and use SAS to analyze data and fit models. Topics include regression analysis in forecasting, model building, residual checking, analysis of seasonal and cyclical trends, and times series models. Prereq: ADMN 420.
Section Comments: Business Administration: Informational Systems and Business Analytics
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Instructors: STAFF

Times & Locations

Start Date End Date Days Time Location
1/22/2019 5/6/2019 T 5:10pm - 8:00pm PCBE 165