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Program Description

Urban Data Analysis with Python is an in-person workshop series exploring how data can be used to better understand cities and urban change.

Through guided, hands-on learning, participants will build foundational data analysis skills in Python by finding and exploring publicly available urban data, learning to analyze and understand patterns in cities, and developing computational workflows for urban analysis.

The course is designed for learners who are new to Python and for beginners who want to deepen their Python knowledge. Registrants should have an interest in urban issues and be looking to build confidence in urban data analysis and Python in a supportive and applied environment.

The course emphasizes practical urban data workflows using common Python tools such as Jupyter notebooks, pandas, and GeoPandas. Example datasets will include neighbourhood census demographic data, OpenStreetMap data, and datasets from municipal open data portals.

Participants will work with fixed datasets and clearly defined tasks, allowing the instructors to provide technical support, ensure that everyone is working at a similar pace, and focus on communicating key skills.

Non-credit learning policies - School of Cities

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Title
School of Cities: Urban Data Analysis with Python
Type
Discussion
Days
M
Time
9:15AM to 2:30PM
Dates
Aug 10, 2026 to Aug 31, 2026
Schedule and Location
View Details
Contact Hours
20.0
Location
Program Fees
Urban Data Analysis with Python non-credit $200.00
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