DPPG8500A-S24
Policy & Data Analytics
This course is a guided introduction to conceptualizing problems and making sense of quantitative information in the policy sphere. The course begins by introducing the theory and practice of policy analysis. The stages of the public policy process and methods for structuring policy inquiry are introduced to provide a means for deconstructing policy problems and asking relevant and practical questions in a policy context.
Next the class is introduced to how such questions are addressed using quantitative tools. Topics to be covered include sampling, estimation, hypothesis testing, analysis of variance, and regression techniques. This will basically be a primer on applying inferential statistics to policy problems. The course will also include introductory training in the use of innovative statistical software, as well as Excel statistical functions.
- Term:
- Spring 2024 - MIIS
- Location:
- McGowan MG99(MGWN MG99)
- Schedule:
- 8:00am-9:30am on Monday, Wednesday (Jan 29, 2024 to May 17, 2024)
- Type:
- Lecture
- Course Modality:
- Blended
- Instructors:
- Fernando DePaolis
- Subject:
- Development Practice & Policy
- Department:
- Development Practice & Policy
- Division:
- Intl Policy & Management
- Requirements Fulfilled:
- Levels:
- MIIS Graduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 22145
- Subject Code:
- DPPG
- Course Number:
- 8500
- Section Identifier:
- A