Tableau Desktop Pocket Reference: Essential Features, Syntax, and Data Visualizations

Tableau Desktop is a powerful and flexible data visualization and analytics tool that makes valuable insights accessible to analysts and executives. This book provides a quick guide to learning Tableau's learning curve, covering how to shape data, create effective chart types, and use technical features such as filters, parameters, and sets to create useful analyses.

Format: Paperback / softback
Length: 150 pages
Publication date: 31 May 2021
Publisher: O'Reilly Media, Inc, USA

In the realm of data visualization and analytics tools, Tableau Desktop stands out as a formidable leader, surpassing its competitors in ease of use and versatility. However, its true strength lies in its extensive feature set, which empowers businesses and organizations to transform vast amounts of data into valuable insights. Author Ryan Sleeper, a renowned expert in Tableau, has crafted this concise pocket reference to guide users in harnessing the power of Tableau.

Through its clear and concise explanations, the book adeptly navigates the learning curve of Tableau Desktop, enabling users to shape data for effective visualization, create diverse chart types, grasp core concepts such as discrete versus continuous data, explore essential technical features like filters, parameters, and sets, and employ key syntax for creating insightful analyses. Moreover, it equips readers with the skills to assemble these elements into comprehensive dashboards, providing a holistic view of their data.

Whether you are a data analyst, business professional, or executive seeking to unlock the full potential of your data, this book serves as a valuable companion. It empowers you to navigate Tableau Desktop with confidence, enabling you to make informed decisions and drive positive outcomes for your organization. With its comprehensive coverage and practical guidance, Tableau Desktop: A Pocket Reference is a must-have resource for anyone looking to excel in data visualization and analytics.

Weight: 126g
Dimension: 108 x 178 x 11 (mm)
ISBN-13: 9781492093480