46-885 Data Exploration and Visualization

6 units, Carnegie Mellon University

We live in a data rich world. Approximately, 402.74 million terabytes of data is created every day (Tech Business News 2024). When situated in the proper context, visualized data has the potential to inform decision making in businesses as well as public policy. Increasingly, data scientists are required to collect data and design visualizations as a way to push message to customers or stakeholders to drive strategy and affect change. Despite the availability of data and easy to use tools, less than stellar graphics are everywhere. At the core, working with data and telling interesting stories to improve business performance are fundamental to a role of data scientist. This course is designed to help you learn how to communicate something to someone using data. It is a hands on introduction to data visualization, presentation and exploration. This course covers these core skills while also giving students some familiarity with relevant software, statistical and visualization techniques and programming.

Prerequisites: none listed

Offered: Spring 2027, Spring 2026

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