From the course: Geospatial Data Analytics Essential Training
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Continuing on with geospatial data science - Python Tutorial
From the course: Geospatial Data Analytics Essential Training
Continuing on with geospatial data science
- Welcome back, everyone, and congratulations. You just finished this course. So, by now, you are surely an expert of geospatial data science, since we covered so many different topics. We talked about the theoretical foundations and the core concepts. We talked about the different types and sources of geospatial data, as well as the most important Python libraries from Shapely to GeoPandas. Then, we also learn about how to do geospatial analytics, from parsing, processing, and combining databases, to how to visualize them on colorful maps. So, by now, I'm also sure that you're eager to learn more about geospatial data, for which I recommend to follow my daily posts on LinkedIn, and also to check out my latest book titled "Geospatial Data Science Essentials". Thank you very much for joining me on this journey, and hope to see you next time. Bye.
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