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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

Data Ingestion

Data is the essential building block for data visualization. It is no different in Tableau. To create visualizations in Tableau, data is required. Data can be as small as one column or field and one row or hundreds of fields and many millions of rows.

One of Tableau’s greatest strengths is its ability to work with robust and diverse sets of data. Before using Tableau, you need to determine what will work with your use case of applying data to Tableau Desktop.

In this chapter, you will learn about some of the core concepts required for the Tableau Desktop certification. Connecting to and preparing data comprises 25% of the exam. It is also an essential building block for what will be covered in the following chapters.

In this chapter, we will cover the following topics:

  • Data structure basics
  • Connecting to data
  • Overview of the Data Source pane
  • Formatting fields in the Data Source pane

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