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\u003cp\u003e\u003cb\u003eBuild, design, and improve advanced business intelligence solutions using Tableau's newest updates, including new Tableau Desktop, Tableau Prep, and Tableau Server features\nPurchase of the print or Kindle book includes a free PDF eBook\u003c/b\u003e\u003c/p\u003e\u003ch4\u003eKey Features\u003c/h4\u003e\u003cul\u003e\u003cli\u003eMaster new Tableau 2023 features to solve real-world analytics challenges\u003c/li\u003e\u003cli\u003eLearn how to use both pre-defined and your own Machine Learning models in Tableau\u003c/li\u003e\u003cli\u003eHow to manage Data Governance and secure high data quality\u003c/li\u003e\u003c/ul\u003e\u003ch4\u003eBook Description\u003c/h4\u003eThis edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added.\nThroughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions.\nLater chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau.\nBy the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.\u003ch4\u003eWhat you will learn\u003c/h4\u003e\u003cul\u003e\u003cli\u003eLearn about various Tableau components, such as calculated fields, table calculations, and LOD expressions\u003c/li\u003e\u003cli\u003eMaster ETL (Extract, Transform, Load) techniques using Tableau Prep Builder\u003c/li\u003e\u003cli\u003eExplore and implement data storytelling with Python and R\u003c/li\u003e\u003cli\u003eUnderstand Tableau Exchange by using accelerators, extensions, and connectors\u003c/li\u003e\u003cli\u003eInteract with Tableau Server to understand its functionalities\u003c/li\u003e\u003cli\u003eStudy advanced visualizations and dashboard creation techniques\u003c/li\u003e\u003cli\u003eBrush up on powerful self-service analytics, time series analytics, and geo-spatial analytics\u003c/li\u003e\u003cli\u003eFind out why data governance matters and how to implement it\u003c/li\u003e\u003c/ul\u003e\u003ch4\u003eWho this book is for\u003c/h4\u003eThis book is designed for business analysts, business intelligence professionals, and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. Prior exposure to Tableau will help you get to grips with the features more quickly, but itâs not a prerequisite. |
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