Predictive Modeling
Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:
20
CRN: 56684
CRN: 56684
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
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
Only listed colleges in section: Paul College of Business&Econ
Classes not allowed in section: Freshman
Instructors: James Kibler
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/25/2022 | 5/9/2022 | MW | 12:40pm - 2:00pm | PCBE 205 |