Class Number: 1152
Description: Hours: Two hours lecture and two hours activity per week Description: This course introduces students to foundational statistical concepts and tools essential for environmental science and resource management. Students will develop quantitative and analytical skills through practical applications of open-source software such as R, alongside accessible non-command line tools like Excel, JMP, and Tableau. Analytical topics include parametric and non-parametric methods, probability distributions, hypothesis testing, and regression analysis. Coursework emphasizes data management, quality assurance, and visualization, with a focus on interpreting environmental and social science data. By the end of the course, students will gain confidence in using statistical methods to explore and analyze complex environmental problems.

Info has been updated in the last 30 minutes
Days Time Date Range Location Instructor
ARR 07/08/2024 - 08/09/2024 Online Dorothy Horn
Status: Open
Session: Regular Academic Session B
Units: 3.00
Class Components: Activity
Career: Undergraduate
Start Date: 07/08/2024
End Date: 08/09/2024
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 13
Available Seats: 10
Wait List Capacity: 10
Wait List Total: 0


Enrollment Information

  • Lower Division
  • On Line
  • Online Asynchronous
  • B4: Math - Quantitative Reason
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