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Tableau Desktop Specialist Certification

Tableau Desktop Specialist Certification

By : Adam Mico
4.7 (10)
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Tableau Desktop Specialist Certification

Tableau Desktop Specialist Certification

4.7 (10)
By: Adam Mico

Overview of this book

The Tableau Desktop Specialist certification is fundamental for any data visualization professional who works in the field with Tableau. This book gets you started by covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. It also builds on your knowledge of advanced Tableau topics to get you up to speed with the essential domains and domain objectives. Although the guide provides an outline and starting point to key in on what needs to be understood before the examination, it also delivers in context to give you a strong understanding of each piece before taking the exam. Instructions on how to get hands on with examples, a common data source, and suggested elements are also included. Understanding the concepts will not only assist you in passing the examination, but will also help you work effectively with the tool in your workspace. By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the author.
Table of Contents (17 chapters)
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1
Part 1: Introduction to Tableau
7
Part 2: Mastering the Exam
12
Part 3: The Final Prep

Knowledge check

  1. Why does tall data generally work better in data visualizations? (Select all that apply)
    1. Fewer null values
    2. Charting flexibility
    3. More data columns or fields
    4. All of the above
  2. To quickly scan the number of fields (or columns) and rows in your table, a developer can review the Data pane and see a count of each.
    1. True
    2. False
  3. Why would a date field be interpreted as a text string in Tableau?
    1. Tableau cannot recognize date fields
    2. A text string is the default field property for all data ingested in Tableau and always requires a change to a date data type
    3. A text field may include a row or multiple rows of non-null data text that is not consistent with a date format
    4. None of the above

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