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)

Blending

Data blending in Tableau Desktop is another method of combining data from multiple data sources in a side-by-side structure via common fields that does not create a physically joined single table. Blending functions differently to both joins and relationships in Tableau in that the data is not actually joined directly. Each source is aggregated separately and then presented together in the view.

The benefit of blending over relationships or joins is that multiple connecting fields can be established between data sources, and these can be toggled on or off with each view in a workbook. This makes them much more dynamic and therefore suitable to problems that require multiple conflicting connections at different levels of aggregation between two Tableau data sources. For example, a Sales data source with values by Country and Product Category could be blended with a Sales Target data source, also broken down by Country and Product Category. Instead of fixing a join or relationship...