INF 385T - Special Topics in Information Science: Data Storytelling
Graduate standing. Additional prerequisites may vary with the topic.
Study of the properties and behavior of information. Technology for information processing and management.
Three lecture hours a week for one semester.
May be repeated for credit when the topics vary.
Introduction to common elements of business data analysis and visualization, including displaying data, cleaning data, and working with clients.
Software such as Excel and Tableau will be used to build tables, charts, and dashboards. This course would serve as an excellent introduction to other data-oriented courses in the master’s program. Students with no data analysis and visualization experience are welcome and encouraged to join. No programming experience is required.