Power BI Data Modeling: Relationships and Date Tables

Effective data analysis in Power BI depends on a well-structured data model that accurately connects separate datasets. This beginner-friendly course guides you through core data modeling principles, teaching you how to establish strong relationships and analyze trends across time. By understanding how tables interact, you will move from simple reports to robust analytical solutions that provide clear business insights. You will learn foundational terminology, star schema design, and practical techniques to handle multi-table data sources confidently. What you'll learn: - Understand core data modeling concepts, table types, and star schema structures - Build and manage active and inactive relationships between multiple tables - Create dedicated date tables using DAX functions like CALENDAR and CALENDARAUTO - Apply time intelligence DAX functions to perform year-over-year and month-to-date analysis - Configure relationship cardinality and cross-filtering direction for accurate results - Implement data modeling best practices to optimize performance and prevent ambiguous pathways The course begins with essential terminology, basic definitions, and foundational concepts before moving into practical modeling exercises. You will read step-by-step written explanations and practical code snippets to reinforce your understanding. This course is designed for beginner data analysts, business professionals, and spreadsheet users looking to transition to Power BI data modeling with no prior modeling experience required. Start reading today to build scalable, professional Power BI data models for your organization.