Advanced Data Analytics in Environmental Science
ESCI601
Description
Building on foundational skills from earlier courses, this advanced analytics course focuses on incorporating different types of input data and implementing machine learning for spatial analysis of different land features, and time series for environmental data. Students will solve real-world environmental problems using open-source tools and databases like R and QGIS, USGS, gaining hands-on experience in modeling, interpretation, and geospatial analysis.
Pre Reqs:
GISC 505 GIS & Remote Sensing For Environmental Solutions
Dates
Jun 2, 2025 — Jul 27, 2025
Aug 11, 2025 — Oct 5, 2025
Oct 20, 2025 — Dec 14, 2025
Jan 5, 2026 — Mar 1, 2026
Mar 16, 2026 — May 10, 2026
Jun 1, 2026 — Jul 26, 2026
Location
Distance Education - Online
Registration Information
For credit cost: $1650