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Data Analysis

Data Wrangling for Economists (R)

Clean messy tables, reshape panels, and document pipelines reviewers can rerun.

tidyverse-first workflows emphasise reproducible scripts, assertive checks, and merge discipline. Participants learn to love validation notes almost as much as models.

Format
Online async
Duration
4 weeks · online async
Level
Introductory
Software
R
Topic
Data prep
Tuition
5,500 THB · informational until admissions confirms
Visual for Data Wrangling for Economists (R)

What is included

  • tidyverse pipelines with readable intermediate names
  • Assertive checks before merges
  • Long-wide reshaping drills with audit logs
  • Makefile-style project layout suggestions

Outcomes you can evidence

  1. Produce a README that another analyst can execute cold
  2. Catch duplicate keys before estimates exist
  3. Document transformations beside code, not only after
Portrait for Kanya Ruang

Lead contact

Kanya Ruang

Data coach specialising in reproducible social science pipelines.

Participant voices

Data Wrangling for Economists (R) — README exercise embarrassed me in a good way.

— M · 4/5

Questions we expect

We publish a renv lock example; you may adapt.
Ready to talk fit?
Admissions responds with prerequisites and employer letter options.
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