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Maps are everywhere around us: in our cars, on our phones, and driving public health initiatives. Geospatial skills and knowledge are increasingly sought after in industry, and will continue to prove vital to Data Science. You will learn how to create maps and analyze spatial data using Python and SQL, how spatial data are applied in a variety of domains, and have hands-on experiences with real data. Together, we will answer questions such as: (1) what are maps, (2) how can we create maps from data, (3) and how do we quantify and analyze maps. Applied geospatial projects will include: autonomous vehicles, public health, supply chain, and more.

License: Mozilla Public License 2.0

Python 0.01% Jupyter Notebook 7.00% PLpgSQL 92.99% Rich Text Format 0.01%
purdue purdue-university geospatial-analytics maps python sql postgis postgres postgresql

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