Python Programming for Data Visualization and Analysis
Data analysis and visualization using Python are essential skills for planners intersted in accurate data analysis, helpful visualizations, and workable urban spatial data. In this course, students will use Python, one of the world's most popular programming languages to conduct basic data analyses, create aesthetically pleasing visualizations, work with urban spatial data, and conduct street network analysis with the OSMnx package. In this track, course instructor and urban planner Geoff Boeing provides insight into the urban form and the structure of cities using the methods of geospatial data science. Each course in this track is approved for AICP CM credit.
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