Data Preparation and Modeling in Tableau

Reliable data analysis begins with clean, well-structured datasets. This text-based course teaches you how to connect, clean, and model data directly within Tableau so your analytical reports remain accurate and maintainable. What you'll learn: - Connect Tableau to multiple file formats, including spreadsheets, delimited text, and flat files - Understand core data architecture principles, distinguishing between logical relationships and physical joins - Clean and reshape raw information by pivoting, splitting columns, and managing data types - Apply filtering, aliasing, and field organization techniques to optimize data structures - Handle missing values, resolve data discrepancies, and configure basic metadata layers You will begin with essential definitions and foundational data concepts before progressing step-by-step through practical data shaping workflows and written exercises. This course is designed for aspiring analysts and beginners with no prior data engineering background. Start reading to build a solid data preparation foundation in Tableau.