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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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Combining Data

This section covers the methodologies for combining data sources together in Tableau. How to join data sources on common fields in Tableau Desktop is covered first, followed by how to union data sources in Tableau Desktop. Relationships in Tableau Desktop and Tableau Blending will also be discussed. Finally, how to join and union data sources in Tableau Prep is looked into.

Tableau Desktop Joins

A common method for combining two data sources is to join them side by side on a common field or on multiple common fields. Tableau Desktop allows datasets from any valid data source type to be combined together (Tableau Data sources cannot be used in joins). There are multiple ways to configure a join in Tableau Desktop such as deciding which fields to match with between the two data sources and then which data to keep as a result of the join.

Choosing which fields to match on can be as simple as selecting a common field with the same name in two data sources. However...

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Tableau Certified Data Analyst Certification Guide
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