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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

How to Interpret Data in a Tableau Visualization

To develop data visualizations and understand the basics, you need to know what to look for in data visualization. Knowing this will not only help you pass the Tableau Desktop Specialist Exam but will also help you and your end users become data fluent.

A primary data visualization key is simplifying complex data to absorbable and actionable insights. Tableau is an incredibly powerful tool for promoting data literacy when wielded appropriately.

In this chapter, we will introduce you to data visualizations in Tableau. There are many components to creating effective data visualizations and you need to be able to define those pieces to tackle the test’s second domain, that is, exploring and analyzing data. This domain accounts for 35% of the exam’s content. As we build your knowledge with the remainder of the book, fundamental building blocks of that content begin here by exploring the pieces in Tableau that drive each...

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