Data Cleaning and Shaping in Tableau Prep Builder

Raw data is rarely ready for immediate analysis, often requiring hours of manual sorting and fixing. This course helps you master data preparation using Tableau Prep Builder, turning disjointed files into structured, reliable datasets. You will transition from struggling with inconsistent data to confidently building automated, repeatable preparation workflows that ensure your downstream visualization tools perform at their best. What you will learn: 1. Understand foundational data preparation concepts, terminology, and common data quality challenges. 2. Connect to multiple data sources, including spreadsheets and databases, to begin your preparation flow. 3. Clean and profile data by filtering, renaming, grouping, and fixing null or mismatched values. 4. Combine datasets using joins and unions while resolving structural mismatches. 5. Apply modern data-shaping techniques such as pivoting and aggregating to optimize your data structure. 6. Export your cleaned outputs for immediate visualization and reporting. The course begins with essential data concepts and interface navigation before guiding you step-by-step through practical, written data-cleaning scenarios and workflow automation. It is designed for aspiring data analysts, business professionals, and beginners with no prior experience in data preparation. Start reading today to streamline your data workflow and unlock clearer business insights.