# 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 Data Intensive II
Prereqs:
one of:
CHEM-1100 Principles Of Chemistry I ERTH-1100 Earth, Energy, And Environment PHYS-1100 Physics I (m) PHYS-1110 Physics I (s) BIOL-1010 Introduction To Biology

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2026 |  |  |

2025

Environmental Data Analysis (4c)

- Sasha Joy Wagner

Seats Taken: 26/24

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 |  |  |
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2001 |  |  |

2000

Advanced Dinosaurs (4c)

- Michael Gaffey

Seats Taken: 84/120

1999 |  |  |
1998 |  |  |