Applied Data Science for Cities

2-2-8 units · Undergraduate

Draws on statistics, visualization, and computation to better understand how cities are shaped. Employs a combination of approaches, including qualitative description and quantitative spatial-analysis using R, to create a storytelling approach to cities. Uses data sources, including census data and local administrative data, to describe community characteristics and consider how analysis of quantitative data fits with other forms of data and engagement to fill gaps in knowledge. Students taking graduate version complete additional assignments. Enrollment limited to 30 for versions meeting together.