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)

Types of Fields in Tableau

This section will walk you through the data types available in Tableau and the ways in which the default behaviors of different field types can be set, as well as their implications.

Data Types

Tableau data types are the methods by which Tableau understands the information stored within a field. Fields can be either the text or string type, numeric, date, date and time, Boolean, or geographic.

Numeric data types can be specified as either whole numbers or decimal numbers. Both have the same symbol in Tableau, and there is no significant difference in functionality. If it is not known whether a numeric field contains details down to the decimal level, it is recommended to set the field to decimal anyway just in case.

By default, Tableau will assign a data type to a field, depending on what is most appropriate. For example, a field with only 1 and 0 values will be assigned as Boolean, whereas a field with values in a format such as 01/01/2024 will...