Gaining a Tableau Certified Data Analyst title is key to advertising your skill set in a data-hungry world. It advertises your ability to connect to, analyze, and describe data in an industry-leading data-visualization tool. This study guide provides example questions, terminology, walkthroughs, and best practices to help you learn key topics covered by this certification exam.

Christopher Gardner, business intelligence analyst and lead Tableau developer for the University of Michigan, provides guidelines for first-time test-takers and a comprehensive review for Tableau veterans.

You'll start by learning how to use Tableau's data Prep Builder and the Tableau Desktop software to connect to, prepare, manipulate, and combine datasets. Then you'll dive into the build interface to develop simple yet compelling data visualizations before moving into more complex topics such as table calculations, level-of-detail expressions, parameters, and predictive analytics tools.

This book shows you how to:

• Read, understand, build, and explain data
• Manipulate data to prepare it for analysis
• Combine datasets to expand potential insights
• Navigate through the Tableau Prep and Tableau Desktop interface to work with your data
• Set up basic data visualizations and write calculations to perform functions for data enhancement
• Explore and analyze your data through visualization
• Publish your work to private or public audiences and properly secure access
• And much more