Book Image

Mastering Tableau 2021 - Third Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2021 - Third Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn 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, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (18 chapters)
16
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17
Index

Getting Up to Speed – A Review of the Basics

Tableau is one of the leading tools used to solve business intelligence (BI) and analytics challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. As an update to the successful Mastering Tableau series, this book covers essential Tableau concepts, data preparation, and calculations with Tableau, all the way up to machine learning use cases.

This edition comes with new datasets, more examples of how to improve dashboard performance, and the most up-to-date know-how on data visualizations, Tableau Server, and Tableau Prep Builder. This new edition will also explore Tableau's connections with Python and R, Tableau extensions, joins, and unions, and last but not least, three new use cases of powerful self-service analytics, time series analytics, and geo-spatial analytics in order to implement the learned content. By the end of this book, you'll have mastered...