ENSC 3002
Applied Data Analysis
Data analysis strategies to tackle real-world, wicked problems. Includes a hands-on applied environmental data science project with a variety of partners. Topics include: obtaining and working with data, exploring causal relationships, data ethics, communicating data, and moving from data to information to action.
Topics
- obtaining and working with data
- exploring causal relationships
- data ethics
- communicating data
- moving from data to information to action
Course catalogue
Prerequisites & course information
Also listed as ISAP 3001 . Prerequisite(s): third year standing. Lecture three hours per week.
Sources
- Course catalogue ↗2026–2027