Data Management and Coding in Stata
School districts and states are required to collect large swaths of data on students, teachers, and schools. These large administrative datasets have become the backbone of education policy research, and so students interested in engaging in this space increasingly need the skills to work with "big data." This course will help students learn a coding language from the program Stata in order to clean and analyze large datasets. Topics covered include: data cleaning, recoding and checking; merging data from multiple sources; reshaping data; documenting processes; writing programs and macros to reduce errors; and presenting descriptive data through tables and graphs.
Topics
- data cleaning
- recoding and checking
- merging data from multiple sources
- reshaping data
- documenting processes
- writing programs and macros to reduce errors
- and presenting descriptive data through tables and graphs
Topics explicitly listed in official catalogue description
Prerequisites & course information
Recommended: Some prior experience with data management and statistical programming software (namely Stata) and with applied statistics. Credit Only Granted for: TLPL788D or TLPL764 . Formerly: TLPL788D.
Sources
- Course catalogue ↗2026-2027