Predictive Modeling
Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:
40
CRN: 54951
CRN: 54951
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.
Registration Approval Required. Contact Instructor or 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
Classes not allowed in section: Freshman
Instructors: James Kibler
Times & Locations
Start Date | End Date | Days | Time | Location |
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1/24/2023 | 5/8/2023 | MW | 12:40pm - 2:00pm | HS G34 |
Booklist
Book | Details |
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STATISTICS,DATA ANAL.,+DECISION...
(5TH 13)
by EVANS Required
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