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Geospatial Analysis without the GIS
Updated on Sep, 2026
Programming, Data Science,
Duration - 9.5 hours
Training 5 or more people ?
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Learn why the Geospatial Data Science tools are becoming so popular in the Geospatial sector. The combination of Jupyter Notebooks with Python and GeoPanda allows you to analyze vector data quickly, repeatably, and with full documentation of every step along the way so your entire analysis can be repeated at the touch of a button in a notebook format that can be shared with colleagues. If you ever get asked to explain your analysis, either for a scientific paper, to defend your results in a court, or simply to share what you've done with others so they can follow your steps then you will be glad that you conducted your analysis in Jupyter notebooks with GeoPanda's rather than in a traditional desktop GIS system.
If you ever get frustrated with limitations in desktop GIS software, some of which is still 32-bit, single-core software that uses decades-old technology under the hood then you will appreciate the performance that can be achieved with this approach.
Check out the detailed breakdown of what’s inside the course
I have been programming and working with database applications for over 30 years, and specializing in geospatial applications for over 20 years. I am a believer in the 80/20 pareto principle which suggests that you only need to understand 20% of a subject in order to do 80% of your work. My goal in all my courses is to teach at the level of that 20% sweet spot and to provide my students with the background and the tools they need to learn the rest of what they need on their own.
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