Geospatial Data Science Course
Master geospatial data science for urban mobility. Learn Python tools, mapping, big data, and reproducible workflows to turn raw trip data into clear insights, powerful visuals, and actionable recommendations for real-world tech and city projects.

flexible workload from 4 to 360h
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
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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