Patrick Spauster is a data journalist and urban planner. He graduated from Wagner’s urban planning program in 2022 where he was an inaugural Georgina and Charlotte Bloomberg Public Service Fellow. He is the Data Fellow at the Furman Center for Real Estate and Urban Policy and writes for Bloomberg City Lab, among other publications. Prior to Wagner, he worked at the Urban Institute and graduate from Davidson College with a degree in Public Policy.
This course will train students to obtain, clean, manipulate, analyze, map, and visualize spatial and non-spatial data to support their work throughout their urban planning careers. The course emphasizes the critical role of design and communication in effective data storytelling. Students will practice the open-source tools R and QGIS in depth. The course will help students build a strong foundation in working with data that will allow them to learn and master additional programs, languages, and tools toward future goals. This course may require a significant amount of time outside of class periods to work on assignments and the final project, depending on the student’s technical skill level. A personal laptop is required.