SQL for Healthcare Professionals: 1 Day Training | San Antonio, TX
Turn healthcare records into insights using SQL and analyze claims, spot patterns, and build KPIs with clarity in a compact 1 Day journey.
Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
About This Course
- Duration: 1 Full Day (8 Hours)
- Delivery Mode: Classroom (In-Person)
- Language: English
- Credits: 8 PDUs / Training Hours
- Certification: Course Completion Certificate
- Refreshments: Lunch, snacks & beverages included
Course Overview
This 1 Day program gives you a practical understanding of SQL tailored specifically for healthcare datasets. You learn how to query patient records, claims tables, clinical data, and operational metrics using intermediate SQL logic. The course covers joins, aggregations, subqueries, early window functions, KPI calculations, and data validation techniques. Each concept is explained in a healthcare context, enabling you to analyze LOS, readmissions, claims denials, utilization trends, and operational workflows. The training is structured to move from foundational SQL logic to intermediate healthcare query building, ensuring clarity, speed, and analytical accuracy.
Learning Objectives
By the end of this course, you will be able to:
- Write clean SQL queries specifically for healthcare datasets.
- Join multiple clinical and claims tables effectively.
- Calculate healthcare KPIs using aggregations.
- Apply subqueries for deeper clinical and operational insights.
- Use early window functions for patient-level analysis.
- Validate healthcare datasets with quality checks.
- Build a simple, end-to-end SQL analysis workflow.
Target Audience
· Healthcare analysts & BI teams
· Hospital operations and reporting staff
· Claims processing & payer teams
· Healthcare IT professionals
· Students learning healthcare analytics
· Junior data analysts and career switchers
· Anyone needing SQL skills for healthcare reporting
Why Choose This Course?
This course bridges SQL proficiency with real healthcare reporting needs. The trainer brings industry experience in clinical, operational, and claims analytics, ensuring every concept is taught with clarity and purpose. You learn practical SQL logic, structured workflows, and intermediate techniques that make healthcare reporting faster, cleaner, and more accurate, all in one day. The course is designed to turn complex datasets into understandable insights.
©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
Turn healthcare records into insights using SQL and analyze claims, spot patterns, and build KPIs with clarity in a compact 1 Day journey.
Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
About This Course
- Duration: 1 Full Day (8 Hours)
- Delivery Mode: Classroom (In-Person)
- Language: English
- Credits: 8 PDUs / Training Hours
- Certification: Course Completion Certificate
- Refreshments: Lunch, snacks & beverages included
Course Overview
This 1 Day program gives you a practical understanding of SQL tailored specifically for healthcare datasets. You learn how to query patient records, claims tables, clinical data, and operational metrics using intermediate SQL logic. The course covers joins, aggregations, subqueries, early window functions, KPI calculations, and data validation techniques. Each concept is explained in a healthcare context, enabling you to analyze LOS, readmissions, claims denials, utilization trends, and operational workflows. The training is structured to move from foundational SQL logic to intermediate healthcare query building, ensuring clarity, speed, and analytical accuracy.
Learning Objectives
By the end of this course, you will be able to:
- Write clean SQL queries specifically for healthcare datasets.
- Join multiple clinical and claims tables effectively.
- Calculate healthcare KPIs using aggregations.
- Apply subqueries for deeper clinical and operational insights.
- Use early window functions for patient-level analysis.
- Validate healthcare datasets with quality checks.
- Build a simple, end-to-end SQL analysis workflow.
Target Audience
· Healthcare analysts & BI teams
· Hospital operations and reporting staff
· Claims processing & payer teams
· Healthcare IT professionals
· Students learning healthcare analytics
· Junior data analysts and career switchers
· Anyone needing SQL skills for healthcare reporting
Why Choose This Course?
This course bridges SQL proficiency with real healthcare reporting needs. The trainer brings industry experience in clinical, operational, and claims analytics, ensuring every concept is taught with clarity and purpose. You learn practical SQL logic, structured workflows, and intermediate techniques that make healthcare reporting faster, cleaner, and more accurate, all in one day. The course is designed to turn complex datasets into understandable insights.
©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
Our Royalty Referral Program
Know a team or professional who could benefit from our workshops? Refer them and earn attractive royalties for every successful registration.
For royalty-related queries, contact orders@mangates.com
Want to train your entire team in healthcare SQL?
We offer tailored in-house sessions that use your organization’s data structures, KPIs, and reporting workflows. The course can be fully adapted to your hospital, payer system, or analytics environment. In-house delivery strengthens team alignment, improves accuracy, and builds consistent SQL practices across departments.
📧 Contact us today to schedule a customized in-house session: corporate@mangates.com
Good to know
Highlights
- ages 18+
- In person
Refund Policy
Location
Regus - San Antonio - Sonterra
401 East Sonterra Boulevard Suite 375 San Antonio Texas 78258 United States of America
Ph No +1 469 666 9332 San Antonio, TX 78258
How do you want to get there?

Agenda
Module 1: SQL Essentials for Healthcare Data
• Writing structured queries for healthcare datasets • Filtering patient and claims records with conditions • Understanding data types & healthcare table relationships • Icebreaker
Module 2: Multi-Table Querying in Healthcare
• Joining clinical, claims, and demographic tables • Combining encounter-level and patient-level data • Identifying mismatched or incomplete records • Case Study
Module 3: Aggregations & KPI Calculations
• Calculating LOS, readmission counts, denial metrics • Using GROUP BY logic for clinical/claims rollups • Identifying trends through aggregated data • Activity