Short videos, practice questions and guides for doing data analysis as an economist. Made for the undergraduate and graduate data analytics labs, and free to keep using afterwards. Bookmark this page.
Seven stages, from the question to the recommendation. For each one: what it is, the mistake to avoid, and the videos, labs and one outside resource that teach it.
Start here →Short videos, 4 to 5 minutes each, on the Python and pandas the labs use. Stuck? Paste your error message and the page finds the video that explains it.
Find a video →Questions you can expect in data and economics interviews, for entry-level analyst and product economist roles. Each has a model answer and the weak answer interviewers hear most.
Practice a question →For each lab, the steps it goes through and the Python skills it needs, with the short video for each one. Check it before a lab, and again after.
Find your lab →Short reviews of the big ideas, one per video: sampling bias, bootstrap intervals, the p-value, random assignment, power, and more as they are recorded.
See the list →A checklist by stage for a whole analytics project, a repository template you can copy, and what a reader looks for in a portfolio piece.
Open the kit →The jobs an economics and data background leads to, what each does day to day, which skills here you need, and how AI tools change the work. Checked once a year.
Read about the roles →Ten free books, courses and guides worth your time, one line each on what it is good for and when to use it. Every link checked.
See the list →