Environmental and Geospatial Data Analysis

3 credits · Undergraduate

This introductory course assists students in developing data science skills and visualization skills using code-based solutions. Students learn how to create, store, manipulate, analyze, and visualize different environmental and geophysical datasets. Lecture and lab topics introduce students to different environmental and geospatial dataset formats that are commonly used by data scientists working in government, academia, and the private sector. The labs emphasize developing practical skills in data analysis (statistical, time series, and spatial analysis) using Python as a key programming language. Prerequisite(s): None Preclusion(s): ENSC 250-3