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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.

Basic Enrollment Requirements: 

Academic Year (Fall/Spring): Unofficial Transcript – Bachelor’s Degree or progress towards a Bachelor’s Degree + 3.0 GPA.

Summer: None.

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the offering type: whether the offering is a course, workshop or short course, or in-demand offering. Please refer to the section details to confirm the type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type are viewable here: https://universitycollege.tufts.edu/policies/refunds#Courses-at-Tufts-(Academic-Year--Summer-Session)

Remission Eligible: Yes; first day of term; all university policies apply.

Affiliated With:

  • School of Arts and Sciences