Geospatial Data Analysis

5 credits

Explores geospatial data processing, analysis, interpretation, and visualization techniques using Python and open-source tools/libraries. Covers fundamental concepts, real-world data engineering problems, and data science applications using a variety of geospatial and remote sensing datasets. Recommended: introductory programming or scientific computing course (or equivalent experience); introductory GIS course (or equivalent experience); and basic working knowledge of Python.