Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
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David Jordan has made a career out of applying spatial thinking to tough problem spaces in the domains of real estate planning, disaster response, social equity, and climate change to name a few. He currently leads Distribution and Geospatial Data Science at J.P. Morgan Chase & Co. In addition to leading and building data science teams, David is also a patented inventor of new geospatial analytics processes, a winner of a Special Achievement in GIS (SAG) award from ESRI, and a conference speaker on topics including banking deserts and how great businesses leverage GIS.
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