EAES 380

Earth and Environmental Data Science

Earth & Environmental Sciences

3 credit hoursUsually offered: Fall, Spring

Avg GPA

3.77

Easiness

No data

Total regs

Grade Distribution

Fall 2025 · Percentages use A–F and W outcomes

Avg GPA

3.77

88.5%

7.7%

0.0%

3.8%

A–F + W

Other outcomes

All registrations

Quick Insights

Avg GPA

3.77

Easiness

N/A

C or better

100.0%

Among A–F outcomes

D or better

100.0%

Among A–F outcomes

Withdrawal rate

3.8%

Among A–F and W outcomes

Most common grade

Letter grades only

Outcomes counted

A–F and W outcomes

EAES 380 by Professor

Ranked by historical GPA for 2024SP–2026SP · A–F outcomes only · minimum 20 graded outcomes

McNicol, Gavin

3.92

RMP

Graded

Total regs

Professor

Avg GPA

Student rating

Graded

Total regs

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McNicol, Gavin

Top GPA signal with 25 grades.

Avg GPA 3.92Open profile →

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About This Class

An introduction to scientific programming for Earth and environmental data science in R or Python, including how to import, tidy, visualize, analyze, and communicate data, and ensure reproducible research with version control software. Course Information: Previously listed as EAES 420. Extensive computer use required. WIFI-enabled laptop computer required. Prerequisite(s): Grade of C or better in EAES 101 ; or Grade of C or better in EAES 111 ; or consent of the instructor. Recommended background: Introductory Chemistry; Introductory Biology; Introductory Earth Science; Spreadsheet data analysis. Class Schedule Information: To be properly registered, students must enroll in one Lecture-Discussion and one Laboratory.