Data Preparation and Cleaning with Tableau Prep Builder

Before you can build beautiful dashboards, you need clean, reliable data. Raw business data is often messy, disorganized, and full of errors, making data preparation one of the most time-consuming parts of any analyst's job. This written course teaches you how to master Tableau Prep Builder to clean, shape, and combine your data efficiently. You will transition from struggling with manual spreadsheet cleanups to building automated, repeatable data preparation flows that feed directly into your visual analytics. What you'll learn: - Understand foundational data preparation concepts, including data profiling, data types, and structural alignment. - Clean messy datasets by resolving null values, fixing spelling inconsistencies, and applying data roles for automatic error detection. - Combine multiple data sources using joins, unions, and aggregations to create a unified data model. - Shape your data using pivot operations and calculated fields to prepare it for optimal dashboard performance. - Configure and export your cleaned datasets for use in visual analytics platforms. You will start with the basics of the Tableau Prep interface and core data concepts before moving through step-by-step written walkthroughs of real-world cleaning scenarios. Each concept is reinforced with practical formatting and structuring exercises. This course is designed for beginners, aspiring data analysts, and business users who want to save time on data preparation. No prior database or programming experience is required. Start reading today to transform your raw data into clean, analysis-ready datasets.