Connecting Multiple Data Sources in Power BI

Managing data scattered across spreadsheets, databases, and cloud platforms is a common challenge in modern analytics. This comprehensive written course walks you through the concepts and practical methods required to connect, clean, and combine diverse datasets into a single cohesive data model. You will develop a solid understanding of data integration principles, learning how to bridge distinct tables and build reliable data pipelines for effective analysis. What you'll learn: - Understand foundational data modeling terminology, connector types, and schema concepts - Connect to diverse data sources including flat files, SQL databases, and web feeds - Transform and standardize mismatched datasets using Power Query techniques - Configure table relationships, manage cardinality, and set up cross-filter directions - Create calculated measures across merged tables using foundational DAX formulas - Apply data model optimization techniques for efficient query performance and data refresh workflows The course begins with foundational definitions, interface basics, and core data architecture principles before guiding you through data integration scenarios and modeling exercises. This course is structured for beginners, data analysts, and business professionals with no prior data engineering experience. Start reading today to unify your data sources and streamline your reporting process.