Master mapping and geospatial analysis. Learn to manipulate spatial data, perform geometric operations, and create interactive maps using Python.
Location data is everywhere, from logistics to environmental science. This course teaches Spatial Data Science using the Python ecosystem. You will move beyond simple coordinates to master Coordinate Reference Systems (CRS), vector data manipulation with Shapely, and powerful dataframes with GeoPandas. Learn to perform spatial joins (points in polygons), calculate distances, and visualize complex datasets on interactive web maps. This skillset is essential for urban planning, logistics, and environmental monitoring.
Estimated completion time: 21 lessons • Self-paced learning • Lifetime access
We focus on Open Source Python tools, not ArcGIS.
Strong comfort with standard Pandas is required.
Delivery routing, real estate, climate tracking.
Yes, teaches generating maps for web apps.
Go from your first step to master level. Three simple steps, all about Spatial Data Science.
Simple words. Clear examples. The friendly way to start Spatial Data Science.
Most people stop at the basics. Keep going — this step takes you higher.
The final step: let Weights & Biases track experiments and visualize results while you focus on the big picture.