Data Visualization for Data Sc

3 Credits · Level: Graduate, Undergraduate

This course introduces students to the tools, methods, and skills necessary for making compelling quantitative graphics for the analysis and communication of public policy research. Students will be trained in programming and software applications useful for data visualization including R, Python, and Tableau. Upon completion of the course students will have gained: 1. A foundation in the theoretical, practical, and aesthetic elements of data visualization. 2. Skills in multiple software tools for making both static and dynamic visualizations. 3. An understanding of different data visualization techniques, trends, and challenges they are likely to encounter. Students will have the opportunity to develop and profile their skills in data manipulation and visualization design through an online portfolio. Prior experience with R or Python, while beneficial, is not required. A laptop running MacOS or Windows must be brought to all class sessions.