Healthcare Data Analytics in Practice: 10 Real-World SQL, Excel & Power BI Projects Using Patient, Claims, and Hospital Data — From Beginner to Job-Ready

By Aruj Mishra

Turn Healthcare Data into Real-World Insights with SQL, Excel & Power BI - Even If You're Starting from Zero.

Healthcare organizations generate enormous amounts of data every day. But knowing what healthcare metrics mean is only the beginning. The real opportunity lies in learning how to analyze patient records, investigate hospital performance, understand insurance claims, and build dashboards that support better decisions.

Healthcare Data Analytics in Practice takes you beyond theory and into the day-to-day work of a healthcare data analyst.

Designed for beginners, aspiring healthcare analysts, hospital professionals, and career changers, this practical guide combines healthcare domain knowledge with hands-on SQL, Microsoft Excel, and Power BI projects.

What You'll Learn:

SQL for Healthcare Analytics: Write queries, join patient and claims tables, clean data, calculate clinical KPIs, and validate your results.

Excel for Healthcare Reporting: Use spreadsheets, PivotTables, and formulas to investigate and verify healthcare data.

Power BI Dashboards: Turn hospital, patient, and financial data into clear, decision-ready visualizations.

Healthcare Data Fundamentals: Understand electronic health records (EHRs), ICD-10 codes, CPT, HL7 FHIR, and insurance claims.

Healthcare Privacy and Compliance: Learn the principles of HIPAA, responsible reporting, and working safely with sensitive healthcare information.

AI-Assisted Analytics: Discover how ChatGPT can help you write, explain, debug, and check SQL queries.

Build Your Skills Through 10 Practical Healthcare Analytics Projects:

Calculate 30-day hospital readmission rates.

Analyze emergency department waiting times.

Measure hospital length of stay.

Investigate insurance claims denials.

Build a payer-mix dashboard.

Analyze hospital bed occupancy and capacity.

Identify outpatient appointment no-show patterns.

Measure chronic disease care gaps.

Track revenue cycle performance and days in accounts receivable.

Create a patient safety and healthcare quality scorecard.

Learn by Doing - Not Just Reading.

Work through a realistic, fully synthetic hospital dataset with guided SQL queries, Excel validation exercises, Power BI reporting instructions, case studies, and portfolio deliverables.

Each project helps you develop the practical skills needed to turn healthcare data into meaningful business and clinical insights.

Who Is This Book For?

Beginners exploring healthcare data analytics

Aspiring healthcare data analysts and BI professionals

Hospital administrators and healthcare managers

Nurses and clinicians moving into informatics

Health insurance and revenue-cycle professionals

Students of healthcare administration, public health, and health informatics

Professionals transitioning into healthcare analytics careers

No advanced programming background required.

Whether you're preparing for your first healthcare analytics role or expanding your existing analytical skills, this book provides a structured path from understanding healthcare data to building and explaining practical analytics projects.

Stop Just Reading About Healthcare Analytics. Start Building It.

• Format: Paperback
• Language: English
• ISBN: B0HMKQGG59
• ISBN13: 9798161316443
• Release Date: October 2026
• Publisher: Independently published
• Length: 187 Pages
• Weight: 0.57 lbs.
• Dimensions: 9.0" x 0.4" x 6.0"