Mastering Tableau 2023
eBook - ePub

Mastering Tableau 2023

Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau

  1. 684 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Mastering Tableau 2023

Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau

About this book

Build, design, and improve advanced business intelligence solutions using Tableau's newest updates, including new Tableau Desktop, Tableau Prep, and Tableau Server featuresPurchase of the print or Kindle book includes a free PDF eBook

Key Features

  • Master new Tableau 2023 features to solve real-world analytics challenges
  • Learn how to use both pre-defined and your own Machine Learning models in Tableau
  • How to manage Data Governance and secure high data quality

Book Description

This 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.Throughout 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.Later 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.By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.

What you will learn

  • Learn about various Tableau components, such as calculated fields, table calculations, and LOD expressions
  • Master ETL (Extract, Transform, Load) techniques using Tableau Prep Builder
  • Explore and implement data storytelling with Python and R
  • Understand Tableau Exchange by using accelerators, extensions, and connectors
  • Interact with Tableau Server to understand its functionalities
  • Study advanced visualizations and dashboard creation techniques
  • Brush up on powerful self-service analytics, time series analytics, and geo-spatial analytics
  • Find out why data governance matters and how to implement it

Who this book is for

This 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 it's not a prerequisite.

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Yes, you can access Mastering Tableau 2023 by Marleen Meier in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Visualisation. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Preface
  2. Reviewing the Basics
  3. Getting Your Data Ready
  4. Using Tableau Prep Builder
  5. Learning about Joins, Blends, and Data Structures
  6. Introducing Table Calculations
  7. Utilizing OData, Data Densification, Big Data, and Google BigQuery
  8. Practicing Level of Detail Calculations
  9. Going Beyond the Basics
  10. Working with Maps
  11. Presenting with Tableau
  12. Designing Dashboards and Best Practices for Visualizations
  13. Leveraging Advanced Analytics
  14. Improving Performance
  15. Exploring Tableau Server and Tableau Cloud
  16. Integrating Programming Languages
  17. Developing Data Governance Practices
  18. Other Books You May Enjoy
  19. Index