Learn Tableau by working through concrete examples and issues that you are likely to face in your day-to-day work.

Author Shankar Arul starts by teaching you the fundamentals of data analytics before moving on to the core concepts of Tableau. You will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations. As the book progresses, you’ll be walked through comparisons and trend calculations using tables. A concluding chapter on dashboarding will show you how to build actionable dashboards to communicate analysis and visualizations. You’ll also see how Tableau can complement and communicate with Excel.

After completing this book, you will be ready to tackle the challenges of data analytics using Tableau without getting bogged down by the technicalities of the tool.

What Will You Learn

Master the core concepts of Tableau

• Automate and simplify dashboards to help business users
• Understand the basics of data visualization techniques
• Leverage powerful features such as parameters, table calculations, level of detail expressions, and more 

Who is This book For

Business analysts, data analysts, as well as financial analysts.

Review

“In the age of Big Data, small businesses as well as large corporations need to rely on data anaytics for their day to day decisions and strategic orientations. This book provides an easy approach to quickly master data visualization using Tableau, allowing you to make clear and efficient choices”. --Ait Voncke, CEO, Aviv Group 

About the Author

Shankar Arul holds a Masters in industrial engineering from Virginia Tech, USA and an MBA in Finance from ESSEC, France. He has more than 15 years of hands-on experience in the field of Data Visualization and data science. Having faced the frustrations of Business users in data-driven decision making, in companies such as BNP, Apple, Groupon and Kering, he decided to enable the Business users with the power of data visualization and Tableau through this book.