SQL for Healthcare: Beginner to Intermediate Course, Melbourne

SQL for Healthcare: Beginner to Intermediate Course, Melbourne

By MG Aussie
Multiple dates

Overview

Turn healthcare records into insights using SQL and analyze claims, spot patterns, and build KPIs with clarity in a compact 1 Day journey.

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

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.

Who can Attend?

  • 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.

©2025 MG Aussie Events. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

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:

eventbrite@mgaussie.com

Category: Science & Tech, Other

Good to know

Highlights

  • ages 18+
  • In person
  • Paid parking

Refund Policy

Refunds up to 7 days before event

Location

Regus 120 Collins Street

120 Collins Street #Levels 31 & 50

Ph No: 61(0) 2 80155605 Melbourne, VIC 3000 Australia

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

Frequently asked questions

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MG Aussie

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From A$562.51
Multiple dates