Environmental Data Analysis

ERTH-2200

This course is designed to introduce students to the basic data analysis and statistical methods necessary to conduct and understand environmental research. Topics and methods covered in this course include experimental design, graphing and data presentation, descriptive statistics, comparison tests, correlation and regression, and other parametric and non-parametric statistical methods. There is a strong emphasis on the application of these methods to datasets that describe current environmental problems and issues.

4 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
2023
Environmental Data Analysis (4c)
  • Sasha Joy Wagner
Seats Taken: 22/24
2022
2021
Environmental Data Analysis (4c)
  • Sasha Joy Wagner
Seats Taken: 20/24
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
Advanced Dinosaurs (4c)
  • Michael Gaffey
Seats Taken: 84/120
1999
1998