Courses

The amount of spatial data—information tagged to geographic coordinates—is vast, ranging from the GPS logs that mobile phones take to online maps and navigation apps and even going as far as the images recorded by satellites orbiting around Earth. This course aims to connect this widespread type of data to daily practice by giving a comprehensive overview of the geospatial data industry. Join instructor Milan Janosov for a practical, hands-on experience exploring, visualizing, and analyzing geospatial data using several Python-based data science tools.

Welcome to “Urban Analytics with Python: Geospatial Data Science and OpenStreetMap”! In this course, you’ll dive deep into the world of urban data analysis with a hands-on Python coding approach. This isn’t just a theoretical overview – it’s a practical course where you’ll actively write code to manipulate, analyze, and visualize geospatial data from OpenStreetMap (OSM).

Are you eager to learn Python but overwhelmed by the endless hours of tutorials packed with excess information? After nearly a decade of hands-on experience in data science with Python, I’ve crafted my first introductory course to focus on what truly matters. This streamlined, no-nonsense course covers only the essentials useful on a daily basis, ensuring you gain practical, relevant knowledge without the fluff. It’s a solid foundation to jump-start your career in Python-based analytics and build on in the long run.