PPOL 8101: Public Policy Studio 1: Data Management and Basic Analytics
University of North Carolina, Charlotte
Hands-on data management and analysis skills through project-based learning.� Students learn to formulate a data management plan and undertake the steps necessary to ensure that data is properly processed and analyzed.� Students also learn how to interpret data and develop policy recommendations.� This course prepares students for regression analysis so they clearly understand all steps that must be taken before running a regression, including proper conceptualization and operationalization of variables.
Average GPA: 3.93
Grade distribution records: 32 students across 4 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 27 | 84.4% |
| B | 2 | 6.3% |
| W | 1 | 3.1% |
Based on 32 student grade records across 4 terms and 3 professors.
Instructors
- Benjamin Radford 20 students, Average GPA 3.90
- Stephanie Smith 8 students, Average GPA 4.00
- Jason Windett 4 students, Average GPA 4.00