Prerequisite(s): Consent of the Graduate Coordinator.
This course will introduce data visualization - the art and science of turning data into readable figures and graphics. Multiple techniques and algorithms for creating more effective and clearer visualization will be introduced. Students will go through the process, including data modeling, data preparation, mapping data attributes to graphical attributes, and visual encoding based on known properties of visual perception as well as the tasks at hand. Students will also learn the value of visualization and how to best leverage visualization methods. The learning process will emphasize design and practical business applications.