CMS Claims Data Transformation with Fabric

Understanding and managing healthcare claims data is essential for many roles in the healthcare and data analysis sectors. This course provides a foundational understanding of CMS Claims data, focusing on the critical steps of data transformation and integration into a robust data platform, enabling you to confidently work with complex healthcare datasets. What you'll learn: Understand the structure and purpose of CMS Claims data, including the CCLF format. Learn core data transformation techniques for preparing healthcare claims data. Apply methods to ingest and integrate transformed data into a data lakehouse. Configure and execute data processing workflows within a modern data platform. Implement basic data quality and validation checks for sensitive healthcare information. Explore foundational concepts of data governance and security best practices for health data. The course begins with foundational concepts of CMS Claims and the CCLF format, then progresses through practical data transformation techniques, data ingestion into a lakehouse, and essential data quality practices. This course is designed for beginners with no prior experience in CMS Claims data or advanced data engineering, but a basic understanding of data concepts is helpful. Begin your journey to effectively manage and analyze vital healthcare claims information.