Book Image

Tableau Desktop Certified Associate: Exam Guide

By : Dmitry Anoshin, JC Gillet, Fabian Peri, Radhika Biyani, Gleb Makarenko
Book Image

Tableau Desktop Certified Associate: Exam Guide

By: Dmitry Anoshin, JC Gillet, Fabian Peri, Radhika Biyani, Gleb Makarenko

Overview of this book

The Tableau Desktop Certified Associate exam measures your knowledge of Tableau Desktop and your ability to work with data and data visualization techniques. This book will help you to become well-versed in Tableau software and use its business intelligence (BI) features to solve BI and analytics challenges. With the help of this book, you'll explore the authors' success stories and their experience with Tableau. You'll start by understanding the importance of Tableau certification and the different certification exams, along with covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. The book builds on your knowledge of advanced Tableau topics such as table calculations for solving problems. You'll learn to effectively visualize geographic data using vector maps. Later, you'll discover the analytics capabilities of Tableau by learning how to use features such as forecasting. Finally, you'll understand how to build and customize dashboards, while ensuring they convey information effectively. Every chapter has examples and tests to reinforce your learning, along with mock tests in the last section. 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 authors.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: Getting Started with Tableau
3
Section 2: Answering Questions with Data
8
Section 3: Advanced Tableau
13
Mock Test A + B (Assessment)

Building your data model

Building your data model consists of how you combine your data before you analyze it. There are numerous factors to take into account when determining a data model structure – the amount of data, type of data, granularity of the data, number of data sources, and so on. The Data Source page is where we will set up how Tableau interprets the data from the data source. The settings we modify on this page tell Tableau where to find the data (for example, network location, server name, and more) and what data is available, and it allows us to customize the data that is brought in (for example, change field names, create new columns based on calculations, and more).
Tableau allows you to easily combine data from different sources. Here are the various ways in which we can join data together on the Data Source page.

  • Data from a single source: The workflow...