Urban Data Science
Graduate. UP213. Next offered Spring 2025 [TBC]. Course website
This course is available as a free, open-access, asynchronous course. You don’t have to wait until it’s next offered for credit, or to be a UCLA student.
New data sources are a potential goldmine for urban planners and policy makers. But sometimes they are large, sometimes they are messy, sometimes they are awkward to access, and often they are all of these things. In this hands-on course, we develop skills in scraping, processing, and managing urban data, and use tools such as natural language processing, geospatial analysis, and machine learning. We draw on examples from transit, housing, and equity planning, and build competence in open-source tools and languages such as Python and SQL. We also consider the limits to data science, and the biases and pitfalls that “big data” can entail.