Mastering FHIR Pipelines - Data Analysis
About this lesson
Build FHIR Pipelines, Query Health APIs, and Analyze Real Clinical Data In this hands-on video, we dive into Lesson 2 and Lesson 3 of the Healthcare Data Analyst Practice Track—designed to simulate the actual workflows used by real healthcare data teams. You'll learn to: ✅ Build a mini HL7 FHIR ETL pipeline using Python or pseudocode ✅ Query FHIR servers with Postman and Python to retrieve clinical cohorts ✅ Use filters, _include, and search conditions to power quality reporting and care gap analysis ✅ Create dashboards with Google Sheets + Looker Studio (or Altair) ✅ Write SQL queries in BigQuery or SQLite to analyze patient + observation data ✅ Explore clinical JSON files using Jupyter Notebooks for EDA 🎯 This track emphasizes real-world tools and real analyst thinking, helping you move beyond theory into actual healthcare data practice. 📁 Downloadable templates, walkthroughs, and sandbox environments included in the full cohort experience. 👀 Watch next: Check out the Full Portfolio Overview video for the intro to all 4 lessons. 🌐 Join the community: Keep your project alive, get feedback, and update your portfolio in a real, collaborative environment.
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