A hands-on short course in using AI prompts to analyze structured data and policy documents — no coding required. Upload a file, ask in plain English, interpret the output, and verify every claim.
Exploratory analysis: describe and clean a dataset, then produce summary statistics, cross-tabs, and simple charts — all in plain English.
Topic 2A regression model and a CART tree for Y1 — prompting for reproducible, verifiable code, and judging a model by its RMSE.
Turn World Bank, IMF, and FOMC text into usable information: faithful summaries, structured extraction, comparison, and classification.
Topic 4Sentiment and tone (hawkish vs. dovish), tracking language over time, and evidence-based synthesis — always with citations.
See zero-shot, one-shot, and few-shot prompting in action: read a Fed statement and predict the rate decision, then reveal the real outcome to check. Open the demo →
For Topics 3 & 4, each student picks one of 30 team packages of real policy documents, all named Doc1, Doc2, Doc3 so the prompts work for every team. See the teams →