Geospatial Data Science Course
This hands-on course teaches geospatial data science for urban mobility, covering data cleaning, analysis, visualization, and scalable workflows with Python and cloud tools to deliver actionable insights.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master geospatial data science for urban mobility in this concise, hands-on course. Learn to clean and validate large trip datasets, run exploratory analyses, build spatial joins, OD matrices, grids, and flow maps, and create clear visualizations with Python tools. You also practice scalable workflows, cloud-ready pipelines, and stakeholder-focused reports that turn complex mobility data into actionable, well-documented insights.
Elevify advantages
Develop skills
- Urban mobility EDA: quickly profile trips, peaks, and modal splits for cities.
- Geospatial Python stack: use GeoPandas, Shapely, and Rasterio for fast analysis.
- OD flow modeling: build and map origin–destination flows to reveal transport gaps.
- Scalable pipelines: process big mobility data with Spark, Dask, and cloud storage.
- Stakeholder reporting: turn complex maps and metrics into clear, actionable briefs.
Suggested summary
Before starting, you can change the chapters and 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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