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

Data analysis and visualization go hand in hand. Tableau allows users to perform in-depth data analysis and share results via interactive visualizations. Tableau includes numerous data modeling capabilities that allow users to make sense of data and to obtain meaningful insights, without having to deal with advanced database concepts. Data modeling is an important concept, and the more data you are working with, the more important it is.

As the amount of information we work with grows, we need to be able to efficiently perform analysis. Data modeling allows us to not only prepare for our analysis but to also make it as efficient as possible. At the end of the day, we use data to help us make better decisions. Spending time learning how we can model the data will help us identify what questions we can answer, and how to answer them. Regardless of the size...