Learning Tableau 2022: Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities, 5th Edition

Learning Tableau 2022: Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities, 5th Edition 5th ed. Edition
by Joshua N. Milligan (Author), Blair Hutchinson (Foreword), Mark Tossell (Foreword), Roberto Andreoli (Foreword)
Publisher Finelybook 出版社:Packt Publishing; 5th ed. edition (August 26, 2022)
Language 语言:English
pages 页数:566 pages
ISBN-10 书号:1801072329
ISBN-13 书号:9781801072328

Book Description
Now in color, this edition of Learning Tableau will empower you to bring data to life and make better business decisions

Key Features
Learn the basics of data analysis, from snappy visualizations to comprehensive dashboards
Gain meaningful insights with geospatial analysis, scripting extensions, and other advanced methods
Explore the latest Tableau 2022 features, including Einstein Discovery and Explain Data

Book Description
Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features.

This new edition is updated with Tableau's latest features, such as dashboard extensions, Explain Data, and integration with CRM Analytics (Einstein Analytics), which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau.

After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data.

You'll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau's Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder's ability to efficiently clean and structure data.

By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data.

What you will learn
Develop stunning visualizations to explain complex data with clarity
Build interactive dashboards to drive actionable user insights
Explore Data Model capabilities and interlink data from various sources
Create and use calculations to solve problems and enrich your analytics
Enable smart decision-making with data clustering, distribution, and forecasting
Extend Tableau's native functionality with extensions, scripts, and AI through CRM Analytics (formerly Einstein Analytics)
Leverage Tableau Prep Builder's amazing capabilities for data cleaning and structuring
Share your data stories to build a culture of trust and action
Who this book is for
This Tableau book is for aspiring BI developers and data analysts, data scientists, researchers, and anyone else who wants to gain a deeper understanding of data through Tableau. This book starts from the ground up, so you won't need any prior experience with Tableau before you dive in, but a full Tableau license (or 14-day demo license) is essential to be able to make use of all the exercises.

Table of Contents
1.Taking Off with Tableau
2.Connecting to Data in Tableau
3.Moving Beyond Basic Visualizations
4.Starting an Adventure with Calculations and Parameters
5.Leveraging Level of Detail Calculations
6.Diving Deep with Table Calculations
7.Making Visualizations that Look Great and Work Well
8.Telling a Data Story with Dashboards
9.Visual Analytics:Trends,Clustering,Distributions,and Forecasting
o.Advanced Visualizations
11.Dynamic Dashboards
2.Exploring Mapping and Advanced Geospatial Features
3.Integrating Advanced Features:Extensions,Scripts and Al
4.Understanding the Tableau Data Model,Joins,and Blends
5.Structuring Messy Data to Work Well in Tableau
6.Taming Data with Tableau Prep
7.Sharing Your Data Story

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