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Curated courses and resources to advance your geospatial career. Track your progress and close skill gaps.
Foundation course covering GIS concepts, spatial data types, coordinate systems, and basic analysis using ArcGIS Online.
Four-course specialisation covering GIS fundamentals, spatial analysis, and web mapping with real-world projects.
Open university course introducing GIS concepts using QGIS. Covers data models, projections, and thematic mapping.
Hands-on course teaching Python for GIS: GeoPandas, Shapely, rasterio, and automating spatial workflows.
Covers spatial data science concepts using Python, including spatial statistics, network analysis, and location intelligence.
Comprehensive Python course tailored for geospatial analysts, from basics to automating QGIS and building spatial pipelines.
Learn about COGs, STAC, GeoParquet, PMTiles, and the modern cloud-native geospatial ecosystem.
Official Google training on Earth Engine for planetary-scale geospatial analysis, covering raster operations and time series.
Managing enterprise GIS in the cloud: user management, content organisation, and deploying web apps at scale.
Core remote sensing principles: electromagnetic spectrum, sensor types, image interpretation, and applications in environmental science.
Comprehensive introduction to Synthetic Aperture Radar: principles, processing, and applications for land and ocean monitoring.
Advanced workflows in Earth Engine: custom reducers, pixel-level time series, machine learning classifiers, and exporting results.