Python for GIS Course
This course provides hands-on training in using Python for geospatial analysis, focusing on GIS workflows for urban green space evaluation and scalable data processing.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Python for GIS Course teaches you how to set up a solid geospatial environment, load and clean vector data, fix geometry problems, and handle projections for precise distance and area calculations. You will explore reliable data sources, carry out efficient spatial joins and overlays, analyse green space coverage, and create clear, documented maps and exports suitable for reports, dashboards, and reproducible workflows.
Elevify advantages
Develop skills
- Python GIS setup: configure professional geospatial stacks quickly with geopandas.
- Spatial data wrangling: clean, reproject, and validate city-scale layers.
- Green space analytics: compute coverage, access buffers, and per-capita metrics.
- High-impact mapping: design clear static maps and export web-ready outputs.
- Scalable workflows: optimise joins, tiling, and PostGIS for big spatial data.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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