Following last year’s success, we have opened registration for the 2025 edition of the standalone course Spatial Data Science in Python, which is open to everyone and leads to a European micro-credentials certificate. This time, we’ve adjusted the schedule so you can participate even with a full-time job or if you live overseas. The course will take place in two blocks – September 8–12 and September 22–26, 2025, each day from 16:00 to 18:00 CEST. Registration is open until August 31, 2025.
This course is ideal for anyone who wants to dive into the world of spatial data analysis using Python—regardless of previous experience in the field.
Main course topics:
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Introduction to Python for data science
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Open science and data manipulation (pandas)
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Spatial data (geopandas)
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Spatial relationships (libpysal)
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Exploratory spatial data analysis (esda)
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Point pattern analysis (pointpats)
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Clustering (scikit-learn)
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Raster data (xarray)
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Interpolation (tobler, pyinterpolate)
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Regression (statsmodels, mgwr)
What you will learn:
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Master statistical and numerical techniques for advanced spatial data analysis.
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Gain hands-on experience with modern Python tools for working with spatial data.
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Understand key methods of spatial data science and how to apply them in practice.
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Work with real-world datasets and extract meaningful insights, e.g., in the field of social geography.
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Learn to independently analyze new datasets and turn them into useful information.
Admission requirements:
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Basic knowledge of Python and introductory statistics (e.g., linear regression).
Course format:
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Format: Online synchronous teaching via MS Teams
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Language: English
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Minimum attendance: 60%
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Dates: First session block from September 8–12, second block from September 22–26, each day from 16:00 to 18:00 CEST.
The course fee for 2025 is 7,500 CZK (approx. €300). Registration is open until August 31.
Join us: Registration