Necessary Skills

The practical catch-all: data literacy and the R, STATA, and Python tools an economics degree assumes you'll pick up on the job. Looking for LaTeX? It now runs as its own Workshop.

Microeconomics Macroeconomics Econometrics Mathematics Necessary Skills

Modules

What the four weeks cover

Data Literacy

Reading tables, spotting misleading charts, and questioning a dataset before you trust it.

Programming in R

Data cleaning, wrangling, and reproducible analysis scripts using the tidyverse.

Programming in STATA

Data management and regression workflows in the package most widely used across policy institutions.

Programming in Python

pandas and matplotlib for the same workflows, for teams standardized on Python.

Course Facts

At a glance

4 weeks, 2 sessions/week

All levels — no prior knowledge required

Hybrid: in-person or remote

Choose any module individually or as a full track

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Who this is for

Everyone — from complete beginners to those looking to deepen existing knowledge. The only prerequisite is curiosity.