A practical, jargon-free course for researchers, economists, and social scientists who want to use AI to supercharge their work — from data cleaning to writing papers. No prior programming experience needed.
You don't need to be a programmer. If you use Stata, R, Python, or LaTeX — or even just Excel and Word — this course will meet you where you are and take you further than you thought possible.
Clean messy survey data, run regressions, write up results — faster.
Automate repetitive analysis tasks and write better code from scratch.
Tackle ambitious research projects without knowing every tool perfectly.
Access world-class AI assistance regardless of institutional resources.
Turn data into reports, memos, and visualisations more efficiently.
Become indispensable by mastering AI-assisted research workflows.
Work through them in order, or jump to what you need. Each module has exercises and real research examples.
Understand what Claude Code is, why it's different from chatting with Claude on the web, and why it matters for your research.
Install Claude Code on Mac, Windows (with WSL), or Linux. Set up your API key. Get Claude Code running in under 10 minutes.
Start Claude Code, give it a task, navigate the interface, understand how to have a productive conversation with your AI assistant.
Create a CLAUDE.md file that gives Claude permanent context about your project. The single biggest productivity lever in Claude Code.
Use Claude Code to clean messy datasets, write analysis scripts in Stata/R/Python, spot errors, and generate tables automatically.
Draft paper sections, convert output tables to LaTeX, manage references, fix LaTeX errors, and improve academic writing.
Use built-in shortcuts like /commit and /help. Create your own custom slash commands (skills) to automate your most common tasks.
Set up hooks that automatically run actions when Claude saves a file, stops working, or starts a session. True automation.
Use the Model Context Protocol to connect Claude to databases, the web, GitHub, Zotero, and other tools in your research stack.
Navigate large research projects with many files. Use Claude Code to understand, refactor, and extend existing codebases you inherited.
Build custom research tools: data dashboards, survey apps, literature scrapers, and automation scripts — even if you've never built an app before.
Share Claude Code setups with your lab, standardize workflows across a team, and use Git + Claude Code for reproducible research.
Build multi-step AI pipelines, call the Claude API directly, and create autonomous agents for complex research tasks.
Responsible AI use in research, academic integrity, security, cost management, and how to keep learning as Claude Code evolves.
Plain-English definitions for every technical term used in this course. Hover over dotted words in any module to see instant definitions.
This course draws from leading economists, developers, and researchers who use Claude Code daily.