Semester: Annually in the spring semester, online and in person
Open to: Professional certificate students, existing CU graduate and undergraduate students
Prerequisites: Geog 4463/5463 or another course demonstrating programming proficiency
Credits: 3

Specifically, in this course students will learn to:

• Use Python to open, process, map and work with spatial data.
• Work with diverse data formats (e.g. raster, vector, tabular and JSON), structures (e.g. social media, crowdsourced and spatial) and types (e.g. remote sensing, sensor network and ground-truthed).
• Find and access data efficiently using websites and Programmatic APIs.
• Work with and derive metrics from remote sensing data.
• Use Jupyter Notebooks to maintain efficient workflows and to create fluid data driven reports that link data to analysis and process.
• Effectively communicate science and collaborate on interdisciplinary projects.
• Document your workflow using clean, expressive coding and following open science principles.