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Tableau Desktop Certified Professional - Storytelling

Preparing for Tableau Certification requires hands-on practice. This knowledge will help you prepare for the hands-on questions on the Tableau Desktop Certified Professional Exam.

Beginner
1h 7m
(3)

Created by Adam Crahen

Last Updated Jun 14, 2024

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  • Course

Tableau Desktop Certified Professional - Storytelling

Preparing for Tableau Certification requires hands-on practice. This knowledge will help you prepare for the hands-on questions on the Tableau Desktop Certified Professional Exam.

Beginner
1h 7m
(3)

Created by Adam Crahen

Last Updated Jun 14, 2024

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What you'll learn

The capstone question on the Tableau Desktop Professional Certification can seem daunting. In this course, Tableau Desktop Certified Professional - Storytelling, you’ll learn how to create a data story from a new data source in Tableau. First, you’ll explore visual best practices like preattentive attributes. Next, you’ll discover how to build views for a multi-part certification question. Finally, you’ll learn how to put your views together to build a cohesive dashboard. When you’re finished with this course, you’ll have the skills and knowledge of storytelling needed to pass the Tableau Desktop Certified Professional exam.

Tableau Desktop Certified Professional - Storytelling
Beginner
1h 7m
(3)
Table of contents

About the author
Adam Crahen - Pluralsight course - Tableau Desktop Certified Professional  - Storytelling
Adam Crahen
16 courses 4.7 author rating 364 ratings

Adam Crahen is the Director of Analytics Practices and Enablement for Pluralsight and also a former Tableau Zen Master. Adam is a creative problem solver specializing in data curation, transformation and visualization with tools like Tableau, SQL, Snowflake, dbt, and Alteryx, etc. His work has been recognized by organizations like Kantar and has been featured by several news organizations around the world. He enjoys sharing his knowledge and passion for data by speaking at conferences, user groups and connecting with the data community.

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