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. Includes: Experiential Learning Activity Also listed as ENSC 3002. Prerequisite(s): STAT 2507. Lecture, three hours per week. [0.5 credits]
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. Includes: Experiential Learning Activity Also listed as ENSC 3002. Prerequisite(s): STAT 2507. Lecture, three hours per week. [0.5 credits]
