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Learning Tableau 2022
By :

Learning Tableau 2022
By:
Overview of this book
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.
Table of Contents (20 chapters)
Preface
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Taking Off with Tableau
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Connecting to Data in Tableau
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Moving Beyond Basic Visualizations
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Starting an Adventure with Calculations and Parameters
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Leveraging Level of Detail Calculations
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Diving Deep with Table Calculations
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Making Visualizations that Look Great and Work Well
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Telling a Data Story with Dashboards
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Visual Analytics: Trends, Clustering, Distributions, and Forecasting
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Advanced Visualizations
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Dynamic Dashboards
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Exploring Mapping and Advanced Geospatial Features
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Integrating Advanced Features: Extensions, Scripts, and AI
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Understanding the Tableau Data Model, Joins, and Blends
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Structuring Messy Data to Work Well in Tableau
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Taming Data with Tableau Prep
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Sharing Your Data Story
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Other Books You May Enjoy
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Index
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