Top/Forecasting Analytics
Durham
Paul College of Business&Econ :: Decision Sciences
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:
5
CRN: 57097
CRN: 57097
Special Topics; may be repeated. Pre- and co-requisite courses vary. Please consult time and room schedule for the specific 898 topics section you are interested in for details.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 12 credits.
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 2/1/2021 | 5/11/2021 | W | 5:10pm - 8:00pm | ONLINE |
Additional Course Details:
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 develop forecasts for real-world business situations. 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.