CUSP-GX 6033 Urban Data Science

3 Credits

The course targets current and future urban
practitioners looking to harness the power of data in urban practice and
research. This course builds the practical skillset and tools necessary to
address urban analytics problems with urban data. It starts with essential
computational skills, statistical analysis, good practices for data
curation and coding, and further introduces a machine learning paradigm and
a variety of standard supervised and unsupervised learning tools used in
urban data science, including regression analysis, clustering, and
classification as well as time series analysis. After this class, you
should be able to formulate a question relevant to Urban Data Science,
locate and curate an appropriate data set, identify and apply analytic
approaches to answer the question, obtain the answer and assess it with
respect to its certainty level as well as the limitations of the approach
and the data. The course will also contain project-oriented practice in
urban data analytics, including relevant soft skills - verbal and written
articulation of the problem statement, approach, achievements, limitations,
and implications.

Also listed under: Formerly CUSP-GX 1003