Module Description

The ability to communicate practical implications of quantitative analyses is a feature of a great data analyst. In this learning module, we will examine concepts of data visualization and learn how Tableau can help you make sense of your large dataset. You will also learn how to prepare your data for compelling storytelling. The module will be in a computer lab and will guide you step-by-step to build a story and convey data insights clearly and directly.

Instructor Information

Haya Ajjan, associate professor of management information systems, faculty administrative fellow for Innovation and assistant to Elon University president and director of the Center for Organizational Analytics, joined Elon University in 2010. She teaches data analytics and information systems courses in the Love School of Business' undergraduate business, MBA and M.S. in Management programs. Her research focuses on better understanding the impact of technology use on individuals, groups and organizations, and has been published in journals such as the Journal pf Business Research, European Journal of Operations Research and Journal of Marketing Theory and Practice. She also serves as a project lead for Elon's participation in Apple's Everyone Can Code initiative. During her tenure at Elon, Ajjan received the Love School of Business Dean's Award for Service and for Scholarship, founded the Center for Organizational Analytics and served as the faculty advisor of Elon's Sigma Iota Epsilon chapter.

Learning Competencies

By the end of the module, learners will:

• Build a solid foundation with core concepts and techniques for working with data to create visualizations in Tableau.
• Develop an understanding of visual best practices.
• Learn how to create a digital story to effectively share your information and insights.