Course Description
Introduction to critical examination, measurement, analysis, and presentation of international policy data to a broad community with a focus on basic data analytics. No prior background in statistics is required.
Athena Title
Data Analytic and Presentation
Equivalent Courses
Not open to students with credit in INTL 7007E
Grading System
A - F (Traditional)
Course Objectives
As an international policy professional, students will have to be up-to-date on data projects that could influence international policy and how to present data within the policy community. This course will provide them with tools that will help them find, critically examine, analyze, and present international policy data to a broad community. Although the focus will be on data analytics, no background in statistics is expected or required. We will be using multiple data software tools to help students work with existing datasets and/or create their own data for the policy community. Each week will focus on different datasets and data structures that they could be using as a policy professional.
Topical Outline
1. Introduction to Course and Why Data in the Policy Community 2. Measurement and Science 3. What Can We Do With Data? Starting R and Stata 4. Time-Series Cross-Sectional Data (Economic/Regimes) and Visualization 5. Time-Series Cross-Sectional Data (Violence) and Visualization 6. Automated Event Data 7. Survey Data 8. Experimental Data 9. Network Analysis Data 10. Small N Data - Focus Groups and Interviews 11. Small N Data - Fieldwork and Achieves 12. Can We Determine Cause and Effect?
Syllabus
Public CV