Communicating through visual presentation of data is a critical skill for policy analysts and advocates. This course will introduce students to data visualization, from principles to practice. Topics in the course will include: principles of data communication, understanding “types” of data, grouping and summarization, static presentation of data, dynamic presentation of data, interactive presentation of data, presentation of model results and estimates, and matters of accessibility and style. You will be asked to examine and critique existing work and practice creating visualizations of your own. You will also be introduced to a variety of commonly-used software for data visualization.
Instructor: Alton Worthington is a political scientist and lecturer in applied statistical analysis and data visualization, whose primary research interests are in the areas of comparative and international political economy.