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Course Description

Provides skills in data management, study design, statistical analysis, and data visualization that are critical for those working in environmental fields through hands-on experience working with environmental datasets. Environmental data are unique in that they are often spatial in nature, containing multiple variables that interact. These types of data require a careful approach to analysis and visualization.Topics covered include best practices in data access and storage, data analysis and interpretation, and data visualization for relevant stakeholders. Prerequisite: An introductory statistics course.

Affiliated With:

  • School of Arts & Sciences