Tableau Certified Data Analyst Study Guide: Learn the Core Concepts and Techniques Necessary to Ace the Exam

· "O'Reilly Media, Inc."
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368
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About this ebook

In today's data-driven world, earning the Tableau Certified Data Analyst credential signals your ability to connect, analyze, and communicate insights using one of the industry's leading visualization platforms. This study guide offers practical and comprehensive preparation for the certification exam, with walk-throughs, best practices, vocabulary, and example questions to help you build both confidence and competence in Tableau.

Written by Christopher Gardner, business intelligence analyst and lead Tableau developer at the University of Michigan, this guide supports first-time test-takers and seasoned users alike. You'll begin with foundational skills in Tableau Prep Builder and Tableau Desktop—connecting, combining, and preparing data—before progressing to building effective visualizations, performing calculations, and applying advanced tools like level-of-detail expressions, parameters, forecasts, and predictive analytics.

  • Read, manipulate, and prepare data for analysis
  • Navigate Tableau's tools to build impactful visualizations
  • Write calculations and functions to enhance your dashboards
  • Share your work responsibly with secure publishing options

About the author

Christopher Gardner is a business intelligence analyst and lead Tableau developer for the University of Michigan. He has over 24 years of experience with the university and has served as a data analyst and Tableau expert for the campus since 2013. Within his role for the university and through O’Reilly boot camps and classes, he has taught thousands of users how to develop data visualizations and dashboards within Tableau. In addition, Christopher is a tech editor and writer for O'Reilly, participating in various Tableau and data-related articles and books. He is a Tableau Certified Data Analyst and has maintained an equivalent of that since 2016. He holds a degree in Actuarial Mathematics from the University of Michigan.

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