Open Data and Open Source software have democratized the ability of urban planners to obtain, analyze, map, and visualize data to support their work. This course will provide immersion into the world of planning-related data, providing hands-on experience with the tools, languages, and processes for working with data in the planning realm. The intent is to provide a preliminary introduction to a wide variety of data tools and skills, applied to both spatial and non-spatial data. Students will achieve a basic level of data literacy, and demonstrate basic data analysis and visualization skills upon successful completion of this course.
This course will involve coding in Python, R, and working with the mapping software QGIS. 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.