SQL for Healthcare: Beginner to Intermediate Course, Sydney

Bring your team and save:

1. Groups of three or more receive a 10% discount

2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.

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 and beverages will be provided during the session

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.

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.

• 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.

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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, face-to-face session:

[email protected]

Info: • Writing structured queries for healthcare datasets
• Filtering patient and claims records with conditions
• Understanding data types & healthcare table relationships
• Icebreaker

Info: • Joining clinical, claims, and demographic tables
• Combining encounter-level and patient-level data
• Identifying mismatched or incomplete records
• Case Study

Info: • Calculating LOS, readmission counts, denial metrics
• Using GROUP BY logic for clinical/claims rollups
• Identifying trends through aggregated data
• Activity

Info: • Creating dependent queries for deeper insights
• Using nested filters for population segmentation
• Applying subqueries for conditional healthcare KPIs
• Brainstorm Activity

Info: • Using ROW_NUMBER and RANK for healthcare sequences
• Identifying latest claims or encounters per patient
• Comparing patient values over time
• Simulation

Info: • Identifying duplicates, missing values, and outliers
• Ensuring consistency across clinical and claims fields
• Simple rules to validate healthcare reporting data
• Role Play

Info: • Designing a structured SQL approach for analysis
• Reviewing, testing, and refining SQL outputs
• Connecting queries to operational decisions
• Action Plan Review

Event Venue & Nearby Stays

Regus - Sydney, Balmain, 45 Evans Street, Sydney, Australia

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