Book Image

Tableau Desktop Specialist Certification

By : Adam Mico
Book Image

Tableau Desktop Specialist Certification

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)
1
Part 1: Introduction to Tableau
7
Part 2: Mastering the Exam
12
Part 3: The Final Prep

Knowledge check

To check your knowledge of this chapter, here are three questions that this chapter’s material will help you answer. The questions that have been selected aren’t intended to trick you, but provide you with a learning benchmark to give you a foundational understanding to help prepare you for the exam. The answers are marked in italics:

  1. What is the cost of the Tableau Public application?
    1. $70 per month, billed annually
    2. $150 per year
    3. Part of the Tableau Desktop license, so no cost on its own, but the same cost as Tableau Desktop
    4. Free
  2. In Figure 1.6, in what years are consumer sales less than $300,000?
    1. 2018 and 2019
    2. 2019 and 2020
    3. 2020 and 2021
    4. 2018 only
  3. What type of data is contained in dimensions?
    1. Quantitative data
    2. Qualitative data
    3. No data
    4. None of the above