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Mastering Tableau 2019.1 - Second Edition

You're reading from  Mastering Tableau 2019.1 - Second Edition

Product type Book
Published in Feb 2019
Publisher
ISBN-13 9781789533880
Pages 558 pages
Edition 2nd Edition
Languages
Authors (2):
Marleen Meier Marleen Meier
Profile icon Marleen Meier
David Baldwin David Baldwin
Profile icon David Baldwin
View More author details
Toc

Table of Contents (20) Chapters close

Preface 1. Section 1: Tableau Concepts, Basics
2. Getting Up to Speed - A Review of the Basics 3. All About Data - Getting Your Data Ready 4. Tableau Prep 5. All About Data - Joins, Blends, and Data Structures 6. All About Data - Data Densification, Cubes, and Big Data 7. Table Calculations 8. Level of Detail Calculations 9. Section 2: Advanced Calculations, Mapping, Visualizations
10. Beyond the Basic Chart Types 11. Mapping 12. Tableau for Presentations 13. Visualization Best Practices and Dashboard Design 14. Advanced Analytics 15. Improving Performance 16. Section 3: Connecting Tableau to R, Python, and Matlab
17. Interacting with Tableau Server 18. Programming Tool Integration 19. Other Books You May Enjoy

Preface

Tableau is one of the leading BI tools used to solve business intelligence and analytics challenges. With this book, you will master the Tableau's features and offerings in various paradigms of business intelligence domain.

This book is an update to our successful Mastering Tableau series with new features, examples, updated code and more. This works as a handy resource to cover all the essential Tableau concepts to help you delve into advanced functionalities. You will learn how to handle and prepare data using Tableau Hyper and Tableau Prep. You will perform complex joins, spatial joins, union, and data blending tasks using various examples. You will learn to perform data densification to display more granular data. Expert level examples to cover advanced calculations, mapping and visual design using various Tableau extensions. Also, this book will cover examples on improving dashboard performance, the know-how of data visualizations, connecting Tableau Server, and more. Later you will cover advanced use cases such as self-service analytics, Time Series Analytics and Geo-Spatial Analytics and learn how to connect Tableau to R, Python, and MATLAB.

By the end of the book, you will master the advanced offerings of Tableau and will be able to tackle common and not-so-common challenges faced in business intelligence domain.

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