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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
Repository
Open issue
Index
