Data Analysis Fundamentals
Read the numbers without being misled. Spreadsheets, statistics, and the chart-honesty checklist.
Course detail →Five flagship courses spanning data analysis, AI, research, and policy. Live cohorts run quarterly; async access opens with each cohort.
Five courses, each pairing live cohorts with documented async material so teams can move at different speeds.
Read the numbers without being misled. Spreadsheets, statistics, and the chart-honesty checklist.
Course detail →Modern statistics, causal inference, and applied modeling. Bring real data; leave with shipped models.
Course detail →AI use-case discovery, ROI scoring, governance, and deployment paths — for non-engineering decision-makers.
Course detail →Study design, sampling, instruments, and analysis plans. The course we wish every PhD started with.
Course detail →Ex-ante options analysis, ex-post evaluation, and writing briefs decision-makers actually read.
Course detail →Private cohorts run on your schedule for teams of 8 or more.