Data Science for Healthcare Claims: 1 Day Training
This practical 1 Day training program provides a structured understanding of how data science is applied to healthcare claims analysis. Participants will explore healthcare claims structures, data preparation, feature engineering, fraud indicators, trend analysis, KPI interpretation, and forecasting essentials. Through real examples, guided activities, and practical frameworks, learners will develop the ability to analyze claims data accurately, identify patterns, reduce errors, and support better financial and operational decisions across healthcare payers and providers.
Calgary, Canada
August 27, 2026
Classroom / In-house Session
1 Day
About this course
This practical 1 Day training program provides a structured understanding of how data science is applied to healthcare claims analysis. Participants will explore healthcare claims structures, data preparation, feature engineering, fraud indicators, trend analysis, KPI interpretation, and forecasting essentials. Through real examples, guided activities, and practical frameworks, learners will develop the ability to analyze claims data accurately, identify patterns, reduce errors, and support better financial and operational decisions across healthcare payers and providers.
What you'll learn
- Understand healthcare claims structures and processing workflows
- Prepare, clean, and validate multi-line claims datasets
- Develop meaningful features for healthcare claims analytics
- Identify fraud, waste, and abuse indicators using analytical methods
- Analyze claims trends and forecast costs or volumes
- Interpret key healthcare claims KPIs for business decisions
Course Contents
Module 1: Understanding Healthcare Claims Data
- Structure of claims: header, line items, and coding fields
- Diagnosis–procedure relationships
- Claims lifecycle: submission to adjudication
- Icebreaker
Module 2: Claims Data Preparation & Cleaning
- Standardizing coding fields (ICD, CPT, NPI, POS)
- Identifying anomalies, invalid values, and missing data
Who Should Attend
- Healthcare Analysts
- Reporting Executives
- Claims Processing and Billing Teams
- Payer and TPA Operations Staff
- Healthcare IT Professionals
- Junior Data Scientists entering Healthcare Analytics
- Students pursuing Healthcare Analytics
Prerequisites
None
Course Materials
Presentation slides, healthcare claims datasets, analytics frameworks, KPI reference guides, case studies, practical exercises, workflow templates, and action planning resources.
Course Price
Need Help?
USA/Canada:
+1 469 666 9332
Australia:
+61 (0) 2 28015 5605
Ready to Get Started?
Take the next step in your professional development journey with this comprehensive training program.