Data Analysis
Data Wrangling for Economists (Python)
Use pandas deliberately, validate merges, and export analysis-ready frames without silent corruption.
Python notebooks become staging grounds for adult supervision: dtype discipline, index hygiene, and paranoid joins. We discuss when to leave pandas for specialised tools.
- Format
- Online async
- Duration
- 4 weeks · online async
- Level
- Introductory
- Software
- Python
- Topic
- Data prep
- Tuition
- 5,500 THB · informational until admissions confirms
What is included
- Paranoid join worksheets
- Datetime pitfall clinic for Thai fiscal calendars
- Unit test patterns for transforms
- Export checks before Stata handoff
Outcomes you can evidence
- Write transforms a colleague can grep through
- Catch silent widening merges early
- Document assumptions at the cell level
Lead contact
Theerapat Saelim
Analytics engineer supporting econometrics teams adopting Python.
Participant voices
Python wrangling course — datetime pitfall section rescued a fiscal-year merge disaster.
Questions we expect
Ready to talk fit?
Request information Admissions responds with prerequisites and employer letter options.