Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview
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.
Learning Objectives
By the end of this course, you will be able to:
Understand how healthcare claims are structured and processed.
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.
Build a simple, end-to-end claims analysis workflow.
Target Audience
This course is ideal for:
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
Why Choose This Course?
This course simplifies complex claims data science concepts into structured, accurate insights that you can apply immediately. The trainer brings deep experience in healthcare analytics,