Predictive Modeling
Durham
Paul College of Business&Econ::Economics
Credits: 4.0
Class Size: 40
Term:
Spring 2025
-
Full Term (01/21/2025
-
05/05/2025)
CRN:
52064
Grade Mode:
Letter Grading
This course expands upon core topics in statistics through the study and practice of data management, data analysis, and statistical programming. Statistical programming and analytical skills are the key components of predictive modeling. Students will develop tools for collecting, organizing, interpreting, presenting, and analyzing business information. As an economics course an emphasis will be placed on how to use data to improve the information needed to make sound economic and business decisions based on marginal analysis.
Prerequisite(s): (ADMN 420 with minimum grade of C- or ADMN 510 with minimum grade of C- ) and (ECON 402 with minimum grade of C- or ECON 402H with minimum grade of C- or EREC 411 with minimum grade of C- )
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Instructors:
STAFF
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/21/2025 | 5/5/2025 | MW | 3:40pm - 5:00pm | HS 201 |
