Visual Analytics Using Tableau

Tableau is one of the leading business intelligence and data visualization tools that fulfill almost all the requirements for getting insights from huge data and solving complex business queries using simple and complex visualizations. This book covers all the features supported by Tableau, from basics to advanced.

Master data storytelling with Tableau by learning to connect, clean, and analyze data from various sources. This book covers essential chart types like bar, line, and pie charts while introducing advanced features like filters, LOD expressions, and dual-axis charts. Create interactive dashboards by combining visualizations, adding controls, and customizing designs to engage your audience. Use storytelling techniques to present insights effectively. With advanced visualizations like combo and Gantt charts, this guide equips you with the skills to communicate data clearly and make informed, data-driven decisions.

This book begins with very basic information that even a beginner can understand. Gradually, the book covers intermediate and advanced features of Tableau, so it can help readers of all levels become experts in Tableau.

KEY FEATURES

* Covers data visualization basics to advanced techniques, providing a complete understanding.
* Offers practical examples and exercises to reinforce learning and gain hands-on experience.
* Explains complex ideas clearly, making them accessible for all skill levels.

WHAT YOU WILL LEARN

* Understand different types of data sources and how to connect them.
* Learn techniques for cleaning and preparing data for visualization.
* Perform calculations, aggregations, and level of detail (LOD) expressions.
* Create both, simple and advanced visualizations to present data.
* Design visually engaging dashboards and storyboards to answer business questions effectively.

WHO THIS BOOK IS FOR

This book is for students and professionals who want to learn and have a rewarding career in data visualization using Tableau. It is also for anyone who wants to become a data analyst, Tableau developer, business analyst, etc.

1. Introduction
2. Tableau as a Visualization Tool
3. Connecting Data
4. Cleaning the Data
5. Exploring Tableau Screen
6. Working with Live Connection and Extracts
7. Relationships and Joins
8. Playing with Charts
9. Advanced Charts
10. Sets, Filters, Sorting, and Groups
11. Some Advanced Features
12. Preparing the Dashboard
13. Level of Details
14. Preparing the Storyboard
15. Customizing the View
16. Closing Comments
Appendix

NehaSingh Rajput is a Tableau certified data analyst. Along with Tableau, she has also achieved many certifications in the field of data science and data visualization, like Microsoft Certified: Power BI Data Analyst Associate (PL-300), Microsoft Certified: Azure Data Fundamentals (DP-900). Apart from data visualization, she has an expertise and is actively involved in teaching and exploring various technologies in the field of data science like Spark, MongoDB, etc.

Sulabh Bhatt has a vast experience of teaching and working on advance database related technologies like SQL, NoSQL, machine learning, Tableau, Spark, etc. He has achieved various well-known certifications like Microsoft Certified: Power BI Data Analyst Associate (PL-300), and Microsoft Certified: Azure Data Fundamentals (DP-900).