About This Course

The "Fundamentals of Big Spatial Data" course introduces participants to the essential techniques and tools required for managing, analyzing, and interpreting large-scale spatial datasets. Through a series of hands-on lessons, participants will explore topics such as working with Python for spatial data, handling time series, database management, and leveraging platforms like Google Earth Engine for advanced spatial analysis. The course combines theoretical insights with practical exercises, enabling participants to apply learned skills directly to real-world datasets (Access this course on GitLab).