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

Data structure basics

In this section, you will understand what the entry points for data ingestion into Tableau are. There are many data components,, and each data component needs to be understood to grasp the context. You will learn about Tableau’s data structure and how it is prepared for data visualization. You will require this knowledge to understand related questions in the exam.

Format

Data needs to be in a spreadsheet-like structure. That structure can come from a variety of sources, including a CSV/text file, a server (for example, Amazon Redshift, Microsoft SQL Server, or Tableau), and many more.

To get the best out of the data source, make sure all the rows and columns are accounted for. There should be no blank rows on top so that Tableau does not create false headings or blank rows on the left of the table, which will create false fields – however, those false fields can be cleaned up with Data Interpreter in Tableau. Since many people will be using...