Book Image

Tableau Certified Data Analyst Certification Guide

By : Mr. Harry Cooney, Mr. Daisy Jones
Book Image

Tableau Certified Data Analyst Certification Guide

By: Mr. Harry Cooney, Mr. Daisy Jones

Overview of this book

The Tableau Certified Data Analyst certification validates the essential skills needed to explore, analyze, and present data, propelling your career in data analytics. Whether you're a seasoned Tableau user or just starting out, this comprehensive resource is your roadmap to mastering Tableau and achieving certification success. The book begins by exploring the fundamentals of data analysis, from connecting to various data sources to transforming and cleaning data for meaningful insights. With practical exercises and realistic mock exams, you'll gain hands-on experience that reinforces your understanding of Tableau concepts and prepares you for the challenges of the certification exam. As you progress, expert guidance and clear explanations make it easy to navigate complex topics as each chapter builds upon the last, providing a seamless learning experience—from creating impactful visualizations to managing content on Tableau Cloud. Written by a team of experts, this Tableau book not only helps you pass the certification exam but also equips you with the skills and confidence needed to excel in your career. It is an indispensable resource for unlocking the full potential of Tableau.
Table of Contents (11 chapters)

Introduction

This chapter will start by covering the data types available in Tableau and how they interact. You will look into ways to clean data once it has been brought into both Tableau Desktop and Tableau Prep, followed by the data transformation options available in both. Finally, the methods available to combine data sources in both Tableau Desktop and Tableau Prep will be covered.

When importing data into Tableau for analysis, there are a number of considerations to make first. For example, a company wanting to analyze quarterly sales data in Tableau would first need to consider whether the data is complete and include sales for the whole quarter. The product names in the quarterly sales data may need to be cleaned first and some transformations may be required, such as calculating total sales from the unit price and the quantity sold. To make these decisions, the user needs to understand the different data types in Tableau so that they can be configured correctly, as well...