Mastering Tableau 2023 - Fourth Edition: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
Mastering Tableau 2023 - Fourth Edition: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
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 advanced 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, perform 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, 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 Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
What You Will Learn:
Learn various Tableau components like 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 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 fo
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 advanced 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, perform 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, 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 Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
What You Will Learn:
Learn various Tableau components like 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 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 fo
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Descrierea produsului
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 advanced 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, perform 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, 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 Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
What You Will Learn:
Learn various Tableau components like 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 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 fo
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 advanced 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, perform 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, 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 Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
What You Will Learn:
Learn various Tableau components like 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 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 fo
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