Connecting and Modeling Data in Tableau

Effective data analysis depends on a solid foundation of clean, well-connected data sources. This course guides you through the essential first steps of the analytical process, showing you how to bridge the gap between raw data and insightful visualizations. You will learn how to navigate the technical side of data ingestion, moving from disconnected files to structured, analysis-ready datasets. By understanding how information flows into your environment, you can ensure your reports are both accurate and performant. What you'll learn: - Connect to various file formats including CSV, Excel, and cloud-based databases - Understand the differences between live connections and data extracts for performance optimization - Combine multiple tables using modern relationships, joins, and unions - Manage data properties by renaming fields, assigning aliases, and adjusting data types - Configure default properties like number formatting and geographic roles for consistent reporting - Apply data modeling best practices to ensure your visualizations are accurate and scalable The course begins with core terminology and connection basics before moving into more complex data blending and organizational techniques through written explanations and practical exercises. This course is designed for beginners who are new to data preparation and require no prior technical experience in database management. Start building a robust data foundation for your reporting today.