Data Science for Healthcare Claims: 1 Day Training
This 1 Day course provides a practical, structured understanding of how data science is applied to healthcare claims. You explore real claims components, data transformations, fraud indicators, trend patterns, KPI interpretation, and forecasting essentials, all explained in a simple, actionable way. The course bridges foundational claims knowledge with intermediate-level analytics, helping you analyze claims with accuracy and clarity. Using clear logic, real examples, and guided activities, you learn how claims data can drive decisions, reduce errors, and support financial and operational insights across payers and providers.
Calgary
August 27, 2026
Classroom Session
1 Day
About this course
This 1 Day course provides a practical, structured understanding of how data science is applied to healthcare claims. You explore real claims components, data transformations, fraud indicators, trend patterns, KPI interpretation, and forecasting essentials, all explained in a simple, actionable way. The course bridges foundational claims knowledge with intermediate-level analytics, helping you analyze claims with accuracy and clarity. Using clear logic, real examples, and guided activities, you learn how claims data can drive decisions, reduce errors, and support financial and operational insights across payers and providers.
What you'll learn
- Understand healthcare claims structure and processing
- Prepare, clean, and validate multi-line claims datasets
- Engineer meaningful features for claims analytics
- Recognize fraud indicators using rule-based and pattern analysis
- Interpret trends and forecast claims costs or volumes
- Evaluate key claims KPIs to support business decisions
Course Contents
Module 1: Understanding Healthcare Claims Data
- Structure of claims: header, line items, coding fields
- Diagnosis–procedure relationships
- Claims life cycle: submission to adjudication
- Icebreaker
Module 2: Claims Data Preparation & Cleaning
- Standardizing coding fields (ICD, CPT, NPI, POS)
- Identifying anomalies, invalid values, and missingness
Who Should Attend
- Healthcare analysts & reporting executives
- Claims processing & billing teams
- Payer and TPA operations staff
- Healthcare IT professionals
- Junior data scientists entering the healthcare domain
- Students pursuing healthcare analytics
- Professionals transitioning into health data roles
Prerequisites
Basic understanding of healthcare systems or data analysis fundamentals recommended
Course Materials
Participants will receive claims data structures, cleaning templates, feature engineering guides, fraud detection frameworks, KPI dashboards, and forecasting tools.
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.