Geospatial Data Science Foundations and Vector Analysis

Geographic data is everywhere, driving critical decisions in urban planning, environmental science, and logistics. Understanding how to work with this spatial information is a highly valuable skill in today's data-driven world. This text-only course guides you from absolute beginner to confidently handling spatial datasets. You will learn the core principles of Geographic Information Systems (GIS), understand how coordinate reference systems work, and perform essential vector analysis techniques to extract meaningful geographic insights. What you'll learn: - Understand foundational GIS concepts, spatial data models, and coordinate reference systems. - Analyze vector data layers using buffering, clipping, intersection, and spatial joins. - Work with modern open-source spatial data formats like GeoJSON and GeoPackage. - Apply Python-based geospatial libraries such as GeoPandas for programmatic vector analysis. - Solve real-world spatial problems through step-by-step written exercises and practical scenarios. The course begins with essential terminology and the theory of spatial representation before moving into practical vector operations and data manipulation techniques. This course is designed for beginners who want to enter the field of geospatial data science, with no prior GIS or programming experience required. Start building your spatial analysis skills today.