GeoPandas Courses and Certifications

Coursera

Crunch Vectors with GeoPandas

Turn raw vector data into planning-ready insights with GeoPandas: run spatial joins between cities and counties, reproject to EPSG:3857, and aggregate territory totals.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

GeoDelta Labs

Introduction to Geospatial Analysis with Python GeoPandas

7 ratings

Learn to visualize and process geospatial data with Python GeoPandas, including coordinate conversion, elevation extraction, and geoprocessing applications.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

EuroPython Conference

GeoPandas 1.0 and Beyond - New Features and Future Developments

Explore GeoPandas 1.0's new features, ecosystem developments, and future plans for geospatial data analysis in Python. Learn about recent changes and upcoming enhancements to prepare your code.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Coursera

Setup Python Geo Stack

Set up a reproducible Python geospatial environment: install GeoPandas and Rasterio with conda, manage channels and isolated environments, and run version-check scripts to validate readiness.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Visualizing Geospatial Data in Python

355 ratings at DataCamp

One of the most important tasks of a data scientist is to understand the relationships between their data's physical location and their geographical context.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Working with Geospatial Data in Python

289 ratings at DataCamp

A good proportion of the data out there in the real world is inherently spatial.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

PyCon US

Geospatial Public Policy Analysis with GeoPandas

Analyze US higher education institutions using GeoPandas, exploring education deserts and equity implications through hands-on data analysis with NCES and IPEDS datasets.

• YouTube
• 3 hours 59 minutes
• Self-Paced
• Conference Talk

Coursera Career Certificate

Geospatial Foundations & Python Tooling

10 ratings at Coursera

Build a geospatial toolkit from zero: process rasters with GDAL and Rasterio, analyze vectors with GeoPandas, map in QGIS, query PostGIS, and automate with PyQGIS.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 9 courses

Coursera

Geospatial Foundations & Vector Analysis

Build a Python geospatial workflow: coordinate reference systems, vector versus raster data, GeoPandas spatial joins and reprojection, ISO-19115 metadata, and geometry validity checks.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course

Geospatial Analysis

2 ratings

Create interactive maps, and discover patterns in geospatial data.

• Kaggle
• 4 hours
• Self-Paced
• Free Certificate

EuroPython Conference

Running Every Street in Paris with Python and PostGIS

Explore geospatial data processing with Python to track running progress across city streets using OpenStreetMap, GPS data, and PostGIS for efficient querying and storage.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

EuroPython Conference

Wildfire Modeling in Yosemite National Park

Explore wildfire simulation in Yosemite using GRASS GIS and Python libraries. Learn to obtain geospatial data, model fire behavior, and create interactive maps with Google Earth Engine and Jupyter Notebook.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

PyCon US

Exploring Eco Topics with Python

Learn to apply Python skills to pressing environmental issues, using tools like numpy, pandas, and matplotlib to analyze deforestation, wildlife trade, and carbon pollution data.

• YouTube
• 2 hours 59 minutes
• Self-Paced
• Conference Talk

EuroPython Conference

Vector Data Cubes as a Bridge Between Raster and Vector Worlds

Explore vector data cubes: multi-dimensional arrays with vector geometries. Learn about Xvec, a new Python library built on Xarray, Shapely 2.0, and GeoPandas for efficient geospatial data handling.

• YouTube
• 29 minutes
• Self-Paced
• Conference Talk

Analysing Covid-19 Geospatial data with Python

15 ratings at Coursera

In this one-hour guided project, you will learn how to process geospatial data using Python. We will go through different geoprocessing tasks including how to create Geodataframes from CSV files and perform a spatial join.

• Coursera
• 2 hours 40 minutes
• No Longer Offered
• Paid Course