My Personal Learning Hub & Notebook
This is my private space where I organize everything I’m learning about Power BI for healthcare analytics — especially Risk Adjustment, HCC, Claims, and Population Health.
Last Updated: June 16, 2026
📚 Learning Path
1. Why Power BI for Healthcare?
- ✅ Learning Power BI & Healthcare Analytics (Why am I learning this?)
2. Machine Learning Basics
- ✅ Machine Learning Basics for Healthcare Analytics
- ✅ Classification vs. Regression: A Healthcare Perspective
- ✅ Understanding Linear Regression
- ✅ Understanding Linear Regression Calculations
- ✅ Understanding Linear Regression with Python
- ✅ Understanding Decision Trees
- ✅ K-Means Clustering in Healthcare
3. Data Modeling & Preparation
- ⭐ What Is a Star Schema? (and Why It Matters)
- ⭐ Power Query Basics: Cleaning and Transforming Data
- ⭐ Building a Simple Data Model in Power BI
- ⭐ Facts and Dimensions
4. DAX & Measures
- ⭐ DAX Basics: Measures vs Calculated Columns
- ⭐ Understanding CALCULATE()
- ⭐ Common DAX Functions for Healthcare
- ⭐ Building KPI Measures for Healthcare Dashboards
5. Healthcare Analytics Applications
- ⭐ Building Effective Healthcare Dashboards
- ⭐ Visualizing Risk Adjustment (HCC & RAF)
- ⭐ Quality Measures and Population Health
- ⭐ Claims and Utilization Analysis
6. Analytics & Machine Learning
- ⭐ Logistic Regression
- ⭐ Confusion Matrix, Accuracy, Precision, Recall, F1 Score
- ⭐ Bias vs Variance, Overfitting vs Underfitting
- ⭐ Cross Validation
🌱 This page will continue to grow as I study and build more healthcare analytics projects.