Environmental Data Science

About this course

Explore Environmental Data Science through online lessons, practical labs and a capstone. Advanced level; estimated study time: 22 h.

Course curriculum

• Module 1 — Environmental Data and their Quirks
• Module 2 — Spatio-Temporal Exploratory Analysis
• Module 3 — Time Series: Seasonality, Change Points and Autocorrelation
• Module 4 — Spatial Statistics for Environmental Fields
• Module 5 — Machine Learning with Spatial and Temporal Validation
• Module 6 — Uncertainty Quantification
• Module 7 — Reproducible Environmental Pipelines
• Module 8 — Communicating Environmental Results

Applied learning

• Case Study — The State of Pennard's Waters Report
• Lab 1 — A change-point analysis of river flows
• Lab 2 — Machine learning for water quality with honest validation
• Lab 3 — An uncertainty-aware map of groundwater nitrate
• Capstone — An Environmental Data Science Study, End to End

Who this course is for

Government Professional; GIS / Remote Sensing Professional; Researcher

Prerequisites

NE-ENV-203

Course details

Course code: NE-ENV-309. Delivery: Instructor-Led / Cohort. School: Climate, Environment & Natural Resources.

Includes online lessons and practice activities. Course materials are in pilot review.