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Geographic Data Science in Python

This tutorial is a part of the course taught by Dr. Dani Arribas-Bel at the University of Liverpool. The course and materials provide students with core competencies in Geographic Data Science (GDS), covering the following topics.

  • Advancing their statistical and numerical literacy.
  • Introducing basic principles of programming and state-of-the-art computational tools for GDS.
  • Presenting a comprehensive overview of the main methodologies available to the Geographic Data Scientist, as well as their intuition as to how and when they can be applied.
  • Focusing on real world applications of these techniques in a geographical and applied context.

Details on the data used in the tutorials below can be found at

For more details about the course (slides, references, citation, license, etc.) please refer to the course's home page.

If you use material from this course, please used the following citation:

author = {Dani Arribas-Bel},
title = {A course on Geographic Data Science},
year = 2019,
journal = {The Journal of Open Source Education},
volume = 2,
number = 14,
doi = {}

University of Liverpool

Data and Resources

Release Date
Homepage URL
Dr. Dani Arribas-Bel
Contact Name
Dr. Dani Arribas-Bel
Contact Email