Applied Data Viz for Sports

1.5 Credits · Level: Undergraduate

Enormous amounts of data are generated every day, and interpretation of descriptive statistics or statistical output alone is no longer sufficient for supporting robust, actionable decisions. Instead, effective decision making increasingly relies on understanding relationships, patterns, and insights in large data sets through well-designed data visualizations. This course introduces foundational principles of cognition and data visualization using sports as a rich and intuitive application domain. Students will learn how different types of data and relationships are best represented visually, how to tell a coherent and credible story with data, and how to ensure that visualizations accurately support analytic conclusions. To facilitate learning, Tableau will be the primary software used to create and communicate sports-related data visualizations.