The hands-on workshop where data professionals learn to speak healthcare.
March 2026 Cohort - Waitlist Open
Data sources are flooding healthcare systems. Expectations are rising. But too many projects end up as beautiful dashboards that nobody uses, or platforms that miss the point entirely. We need engineers who understand both the data mechanics, the business mechanics, and the clinical mechanics.
Learn from practicing healthcare data engineers who've built systems that actually work. This hands-on bootcamp cuts through the fluff to teach you what matters: technical skills, business & clinical context, and how to build things that providers and patients can rely on.
Perfect for: Data engineers, analytics engineers, and analysts moving into healthcare
Go from raw, messy claims data to presenting insights to stakeholders. Each session: 1 hour lecture + 1 hour hands-on lab. Walk away with a portfolio project and resume bullets that actually mean something.
Real scenarios: "The CFO asks why costs jumped 20%." Learn to make analytical decisions, not just run queries. AI can look things up - you'll learn to think.
Every lecture is packed with revelations. Your first query is wrong - here's why. Every payer does ADRs differently. That 15% error? That's someone's budget decision.
DuckDB + dbt + Tuva. No expensive cloud accounts. Your environment is yours forever. Resume-worthy tech stack that's actually used in production.
Pick your track: Care gap outreach, rising risk cohorts, ED avoidance, or cost drivers. Build something you can explain in interviews with confidence.
10-15 people. Live sessions. Slack support. Office hours. You're not watching videos alone - you're learning with peers who become your network.
Walk away with a GitHub project, resume bullets, and the ability to answer "tell me about a time you worked with messy data" with a real story.
First cohort launches March 2026. Limited to 10-15 seats. Join the waitlist for early access and updates.