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EAS42000: Statistical Methods in Earth and Atmospheric Science

Course Information

Syllabus
Schedule
Resources

Lectures

1. Introduction to Statistical Methods in Earth and Atmospheric Sciences
2. Descriptive Statistics
3. Probability theory
4. Hypothesis testing
5. Linear regression
6. Time Series
7. Spectral Analysis

Assignments

1. Writing key quantities from descriptive statistics in Python yourself
2. Generating core data visualizations on the Central Park weather dataset in Python
3. Key concepts from probability theory and empirical probabilities computed from the Central Park weather dataset
4. Probability distributions and hypothesis tests homework assignment
5. Learning more about linear regressions using large-language models

Final Project

Final project requirements

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By Spencer A. Hill

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