Oksana Mironova is a writer and researcher who was born in the former Soviet Union and grew up in Brooklyn. Her writing about housing and urban planning has appeared in Arch+, the Journal of International Planning Studies, and Urban Omnibus. She holds a Master’s in Urban Planning from CUNY Hunter and was a 2020-2021 Robert Bosch Foundation Fellow in Berlin. She works as a housing policy analyst with the Community Service Society, where she advocates for housing policies that benefit low-income New Yorkers.
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.