Mastering Tableau 2023
Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
4th Edition
Published on 29. August 2023
Book
Paperback/Softback
684 pages
978-1-80323-376-5 (ISBN)
Description
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 DescriptionThis 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 forThis 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.
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 DescriptionThis 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 forThis 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.
More details
Edition
4th Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 37 mm
Weight
1255 gr
ISBN-13
978-1-80323-376-5 (9781803233765)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Marleen Meier
Mastering Tableau 2023
Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
E-Book
05/2024
4th Edition
Packt Publishing Limited
from
€35.99
Available for download
Person
Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.
Content
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
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