ECON 565 (01) - Predictive Modeling: Data Driven Economic Analysis

Predictive Modeling

Durham   Paul College of Business&Econ :: Economics
Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 52860
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
1/24/2023 5/8/2023 MW 9:40am - 11:00am PCBE G85