Good data analysis depends on more than a polished chart: it starts with understanding the data, choosing a useful view, and making the result clear to others. Learning Tableau 2020 takes readers through that work, from first connections and foundational visualizations to calculations, interactive dashboards, and sharing data stories.
Joshua N. Milligan’s fourth edition builds its 18 chapters in a learning progression. It introduces Tableau’s core concepts before moving into more involved ways to explore, structure, and present data.
Start with the data, then shape the view
The early chapters explain how to connect Tableau to data, work with metadata and extracts, and use filters. Alongside these foundations, the book develops visual literacy through charts and maps—including bar, line, geographic, and distribution-focused views—and shows how visualizations can come together in a dashboard.
Go beyond the basic chart
As the examples advance, readers encounter ways to compare values, show changes over time, examine part-to-whole relationships, and investigate distributions. The focus is not simply on making more kinds of charts; it is on choosing views that help answer different analytical questions.
Work with calculations and Tableau’s data model
Milligan introduces calculations and parameters, then explores level-of-detail expressions and other techniques for extending analysis. The book also addresses Tableau’s data model, joins, blends, and the challenge of structuring messy data—topics that matter when a visualization depends on bringing information together thoughtfully.
From preparation to presentation
Tableau Prep features in the book’s treatment of cleaning and structuring data. Later material turns to dashboards, visual storytelling, and sharing work. That broader arc helps connect the mechanics of analysis with the way findings are presented to other people.
A useful progression for Tableau learners
This edition is suited to readers building their Tableau foundation as well as those ready to explore more advanced features. The publisher says scripting, SQL, and database-structure knowledge are not prerequisites, while some familiarity with data can be helpful. For anyone who wants a structured route from connecting data to communicating what it shows, this book offers a substantial guide to Tableau 2020.
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Learning Tableau 2019: Tools for Business Intelligence, data prep, and visual analytics, Third Edition
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