DATA MANAGEMENT FOR EDUCATION POLICY ANALYSIS

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Import, merge, and append multiple data sources Audience: Graduate 2. Structure directories and files to support collaborative inquiry Audience: Graduate 3. Organize a dataset through the systematic assignment of variable names, variable labels, and value labels Audience: Graduate 4. Generate and manipulate string and numeric data Audience: Graduate 5. Clean and troubleshoot data, including the imputation of missing values Audience: Graduate 6. Collapse and reshape your dataset Audience: Graduate 7. Generate summary statistics, in tabular and graphic form Audience: Graduate 8. Use coding strategies, such as loops, logical expressions, locals, and macros, to program efficiently Audience: Graduate 9. Document data preparation and structure Audience: Graduate 10. Acquire publicly available data from multiple formats Audience: Graduate Learning Outcomes: 1. Import, merge, and append multiple data sources Audience: Graduate 2. Structure directories and files to support collaborative inquiry Audience: Graduate 3. Organize a dataset through the systematic assignment of variable names, variable labels, and value labels Audience: Graduate 4. Generate and manipulate string and numeric data Audience: Graduate 5. Clean and troubleshoot data, including the imputation of missing values Audience: Graduate 6. Collapse and reshape your dataset Audience: Graduate 7. Generate summary statistics, in tabular and graphic form Audience: Graduate 8. Use coding strategies, such as loops, logical expressions, locals, and macros, to program efficiently Audience: Graduate 9. Document data preparation and structure Audience: Graduate 10. Acquire publicly available data from multiple formats Audience: Graduate