DS 768 (1SY) - Forecasting Analytics

Forecasting Analytics

Durham   Paul College of Business&Econ :: Decision Sciences
Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 52528
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. Prereq: ADMN 420.
Section Comments: Business Administration: Informational Systems and Business Analytics
You must sign up in the Dept Office before registering through WEBCAT.
Only listed campus in section: Durham
Only listed colleges in section: Paul College of Business&Econ
Only listed classes in section: Junior, Senior
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Burcu Eke Rubini

Times & Locations

Start Date End Date Days Time Location
2/1/2021 5/11/2021 W 5:10pm - 8:00pm ONLINE