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)

Defining Calculations

Before delving into the wide expanse of calculations and how to build certain types of them, it is important to understand the definitions of the types of calculations and how they can be used across all Tableau platforms.

Data sources in Tableau can be supplemented within Tableau Desktop by creating new fields using Tableau’s calculated fields. Calculated fields involve writing out logic in Tableau’s own calculated field language, resulting in a new column/field that functions in the same way as any data source field with Tableau Desktop. Calculated fields can be used in views, as filters, within other fields, and so on. An example of a calculated field could be a data source breaking down orders with the cost price and the quantity purchased for each order. A total sales field is not included in the data source but can be created in Tableau using a calculated field that calculates order quantity multiplied by cost price.

Charts can be made...