Urban Informatics & Visualization-Berkeley
A UC Berkeley course teaching urban data analysis, visualization, and mapping using Python and open-source tools for city planning.
What is Urban Informatics & Visualization-Berkeley?
Urban Informatics and Visualization is a UC Berkeley course that teaches students to analyze urban data, develop indicators, and create visualizations and maps using Python programming and open-source tools. It focuses on practical skills for quantitative problem solving in urban planning contexts, from data harvesting to communication of results.
Master of City Planning students and other urban planning professionals who need technical skills for data analysis and visualization, particularly those with some GIS experience but limited programming background.
This course provides a structured, hands-on approach to learning urban data analysis with Python, combining academic rigor with practical applications using real public data sources and open-source tools specifically relevant to urban planning challenges.
Overview
Urban Informatics and Visualization (UC Berkeley CP255)
Use Cases
Best For
- Learning Python programming specifically for urban data analysis applications
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