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  • Book Overview & Buying Tableau Certified Data Analyst Certification Guide
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Tableau Certified Data Analyst Certification Guide

Tableau Certified Data Analyst Certification Guide

By : Harry Cooney, Daisy Jones
3.7 (10)
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Tableau Certified Data Analyst Certification Guide

Tableau Certified Data Analyst Certification Guide

3.7 (10)
By: Harry Cooney, 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)
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Numeric Calculated Fields

There is a wide variety of number functions available in Tableau’s calculated fields. Users can take any numeric value, be it typed in the calculated field or taken from another field, and apply a mathematical function to it. These range from functions for numerical transformation to number formatting options and logic relating to circles.

Referring back to the orders data source example from the introduction, there are many numeric types of calculation logic that could be applied to supplement the data source. For example, the DIV function could be used to divide total profit by total sales to calculate a profit ratio. Numeric functions can also be used to format the data correctly, for example, by using the ROUND function to specify a correct number of decimal places for metrics in the data source.

Transformational Mathematical Functions

There are a variety of mathematical functions available for use in calculated fields in Tableau. Mathematical...

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Tableau Certified Data Analyst Certification Guide
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