Mastering Tableau 2023: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
Language: English
Published by Packt Publishing, 2023
- Softcover
- New
Seller: California Books, Miami, FL, U.S.A.California Books
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- Title
- Mastering Tableau 2023: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
- Author
- Marleen Meier
- Publisher
- Packt Publishing
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1803233761
- ISBN 13
- 9781803233765
- Edition
- 4th Edition
Build, design, and improve advanced business intelligence solutions using Tableau’s newest updates, including new Tableau Desktop, Tableau Prep, and Tableau Server features
Purchase 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.
Table of Contents
- Reviewing the Basics
- Getting Your Data Ready
- Using Tableau Prep Builder
- Learning about Joins, Blends, and Data Structures
- Introducing Table Calculations
- Utilizing OData, Data Densification, Big Data, and Google BigQuery
- Practicing Level of Detail Calculations
- Going Beyond the Basics
- Working with Maps
- Presenting with Tableau
- Designing Dashboards and Best Practices for Visualizations
- Leveraging Advanced Analytics
- Improving Performance
- Exploring Tableau Server and Tableau Cloud
- Integrating Programming Languages
- Developing Data Governance Practices
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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