Mastering Tableau 2021: Implement advanced business intelligence techniques and analytics with Tableau
Meier, Marleen; Baldwin, David
Language: English
Published by Packt Publishing (edition 3rd ed.), 2021
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- Used

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- Title
- Mastering Tableau 2021: Implement advanced business intelligence techniques and analytics with Tableau
- Author
- Meier, Marleen; Baldwin, David
- Publisher
- Packt Publishing (edition 3rd ed.)
- Publication year
- 2021
- Condition
- Fair
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1800561644
- ISBN 13
- 9781800561649
- Edition
- 3rd ed.
Build, design, and improve advanced business intelligence solutions using Tableau’s latest features, including Tableau Prep Builder, Tableau Hyper, and Tableau Server
Key Features
- Master new features in Tableau 2021 to solve real-world analytics challenges
- Perform geo-spatial, time series, and self-service analytics using real-life examples
- Build and publish dashboards and explore storytelling using Python and R integration support
Book Description
Tableau is one of the leading business intelligence (BI) tools used to 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. Following this, 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 Tableau.
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.
What you will learn
- Get up to speed with various Tableau components
- Master data preparation techniques using Tableau Prep Builder
- Discover how to use Tableau to create a PowerPoint-like presentation
- Understand different Tableau visualization techniques and dashboard designs
- Interact with the Tableau server to understand its architecture and functionalities
- Study advanced visualizations and dashboard creation techniques
- Brush up on powerful self-service analytics, time series analytics, and geo-spatial analytics
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. The book is ideal if you have a good understanding of Tableau and want to take your skills to the next level.
Table of Contents
- Getting Up to Speed – A Review of the Basics
- All About Data – Getting Your Data Ready
- Tableau Prep Builder
- All About Data – Joins, Blends, and Data Structures
- Table Calculations
- All About Data – Data Densification, Cubes, and Big Data
- Level of Detail Calculations
- Beyond the Basic Chart Types
- Mapping
- Tableau for Presentations
- Visualization Best Practices and Dashboard Design
- Advanced Analytics
- Improving Performance
- Interacting with Tableau Server/Online
- Programming Tool Integration
"Synopsis" may belong to another edition of this title.
About the Author
Marleen Meier has been working in the field of data science since 2013. Her experience includes Tableau training, proof of concepts, implementation, enablement as well as quantitative analysis, machine learning and AI. In 2018, she was a speaker at the Tableau conference, where she showcased an anomaly detection model using neural networks, visualized in Tableau.
David Baldwin has been providing consulting in the business intelligence sector for 22 years. His experience includes Tableau training and consulting, developing BI solutions, project management, technical writing, and web and graphic design. His vertical experience includes financial, healthcare, human resources, aerospace, energy, education, government, and entertainment industries.
"About the title" may belong to another edition of this title.
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