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

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

Purchase of the print or Kindle book includes a free eBook in PDF format.

Key Features:

Learn the basics of data analysis, from snappy visualizations to comprehensive dashboardsGain meaningful insights with geospatial analysis, scripting extensions, and other advanced methodsExplore 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 clarityBuild interactive dashboards to drive actionable user insightsExplore Data Model capabilities and interlink data from various sourcesCreate and use calculations to solve problems and enrich your analyticsEnable smart decision-making with data clustering, distribution, and forecastingExtend 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 structuringShare 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.


From the Publisher

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What’s new in this edition?

The most significant addition to this edition is a new chapter dedicated to extending the functionality of Tableau using dashboard extensions, Python and R scripts, and AI (via Einstein Analytics). This is truly exciting because it opens the possibilities of creating richer UI and integrations, exploring deeper analytics, and leveraging advanced statistical models and machine learning.

You’ll also find a wide variety of new features, user interface updates, and detailed explanations of concepts that weren’t covered as deeply in the previous editions.

Key features Clean, structure, and prepare your data using calculations and Tableau Prep Builder Improve data analysis with geospatial mapping, integrated programming languages, and AI capabilities Build a culture of data literacy within your organization and optimize your BI abilities

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What is your favorite chapter or topic and why?

Each topic that I consider has incredible significance, for example, the first few chapters that lay the foundation of the Tableau paradigm, the chapters that cover when and how to use specific visualizations to uncover and communicate insights, and the chapter on visual analytics that describes some of the deeper statistical capabilities of Tableau. But the one topic that many readers continue to find useful is that of structuring and fixing messy data. Real-world data is often not what you find in training classes or online examples. It’s a mess! Understanding how to get your data ready for analysis by cleaning and structuring it using Tableau and Tableau Prep is key to success.

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What will readers be capable of after reading the book?

By the end of the book, you’ll come away with a deep foundation for how to use Tableau to see and understand your data. The book covers the major Tableau features and capabilities to enable you to develop a strong understanding of how and why to use those features as you get to grips with the basic paradigm of Tableau, creating specific types of visualizations that uncover insight from the data, structuring and cleaning data for analysis, designing rich interactive dashboards, and leveraging advanced features for even deeper insight.

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Publisher ‏ : ‎ Packt Publishing; 5th ed. edition (August 26, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 568 pages
ISBN-10 ‏ : ‎ 1801072329
ISBN-13 ‏ : ‎ 978-1801072328
Item Weight ‏ : ‎ 2.16 pounds
Dimensions ‏ : ‎ 9.25 x 7.52 x 1.15 inches

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

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  1. annabelle

    Very useful and easy to follow
    I really enjoyed this book and it quick started my jumping into Tableau the instructions and examples were so easy to follow. I was able to create dashboards with this book.

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  2. WJCarpenter

    good for beginners and intermediate users
    (Background: I read an early review copy of this. It’s an update to previous editions. I haven’t read those earlier editions and evaluated this as a standalone work. This is an end-user book, not aimed at developers or administrators of Tableau systems.)This book starts with the basics and slowly builds up to fairly sophisticated techniques for doing visualizations using Tableau. If you are a Tableau beginner, this is a great way to learn to use it at your own pace. If you already have some Tableau experience, I’ll bet there will be things in here that are either new to you or that you have kind of forgotten about. I know that was true for me.If you are a beginner, I recommend that you stay in Chapter 1 until you feel completely comfortable with all the things he describes in that introduction. Like pretty much any sophisticated tool, there is some terminology that you will find it best to have burned into your brain cells to make the rest of the material easier to take in. Not that it’s hard; it’s just that it may be new ground for you, and you don’t want to be bothered with trying to remember that sort of stuff when you are really trying to digest some larger concept. He does a good job of explaining what you need to know for the rest of the book, so don’t skip it thinking it’s a lightweight introduction.One of the things I like best about this book, besides its thorough coverage of the topic, is that the author goes beyond merely explaining how to do various things. He explains why you would or would not make various choices. This is the creative part of storytelling with data, and he’s interested in having you accomplish your storytelling goals rather than just presenting visual facts from the data.

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  3. George Squillace

    A worthwhile purchase
    Prior to acquiring this book I had done a bit of free video learning on Tableau. But I also like to learn from books and to have a book as a reference, where I can write questions and notes in margin, underline and highlight.There were several things I was looking for in a beginning Tableau book. First, I wanted a good description of Measures versus Dimensions. Second, I wanted a good description of discrete v. continuous values. Third, I wanted a good reference on Level of Detail calculations. Finally, I wanted a thorough treatment of the “actions” features in Tableau.Other things that I appreciate being included in the book is the chapter on calculations and parameters, a discussion of groups versus sets, and an entire chapter on table calculations. I also liked the color version of the book and thought color was quite valuable, especially when distinguishing pill types.As for suggestions, something as seemingly simple as sorting is not completely simple in Tableau, and sorting didn’t even have an index entry. There should also have been index entries on things like the AGG() and ATTR() functions, and there are a number of typographical errors.In summary, this is a great book for people starting off with Tableau and it will serve as a great learning tool and reference.

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  4. bmac

    Best learnign guide I have found!
    Josh Milligan’s Learning Tableau 2022, 5th edition is a great read. Josh has written this book for an absolute beginner, so a full introduction to the interface and all menus/options is covered. Josh explains all the fundamentals in the first half of the book with step-by-step follow along instructions, in the context of thinking like a data professional. More importantly, his explanations of the behind the scenes processes internal to Tableau are straightforward and make learning how to use this incredible package much smoother.Intermediate and some advanced topics are explained and demonstrated. The latest additions to Tableau are covered. I really enjoyed the explanations of fundamental topics like data types (dimensions vs. measures and discrete vs. continuous) and LOD (Level of Detail) calculations. The dashboard created in chapter 8 has quite a bit of end user functionality. Josh does a great job with custom calculations, filters and parameters.I have only read and worked through the first half, and looking forward to learning more about dynamic dashboards, adding extensions, and even Tableau Prep. I have picked up many great nuggets while working through this book, so far.If you would like to learn Tableau or up your skills and understanding, this book should definitely be in your collection.

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  5. Jeffrey Baker

    If your new to Tableau or a seasoned professional add this book to your reference material.
    I have had the pleasure of reviewing Joshua Milligan book, “Learning Tableau 2022”. The fifth edition contains updates 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.Joshua covers so much content within the book that I know it would be like having a #Tableau visionary to turn to at a moment’s notice when you’re trying to figure something out and it is just not working.I really liked how he explained LOD expressions FIXED, INCLUDE and EXCLUDE and in reviewing the section on Table Calculations, which is challenging to understand without formal training, Joshua breaks them down and goes behind the scenes.This book will be a valuable resource for me to use as a reference and when I want to dive deeper into a topic. I highly encourage you if your new to Tableau or a seasoned professional developer to add this book to your reference material.Thank you, Joshua Milligan, for taking the time to share all of these insights and thank you Vidhi Vashisth for letting me review this copy! #data #analytics #training #learning

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