Necessary Skills

The practical catch-all: data literacy and the R, STATA, Python, and LaTeX tools an economics degree assumes you'll pick up on the job.

Modules

What the five weeks cover

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

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

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

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

Typesetting papers, equations, and tables that hold up to journal formatting standards.

Course Facts

5 weeks, 2 sessions/week

All levels — no prior knowledge required

Hybrid: in-person or remote

Choose any module individually or as a full track

Everyone — from complete beginners to those looking to deepen existing knowledge. The only prerequisite is an interest in economics.