Data Science Foundations for Earth and Planetary Sciences

Under development

Data Science Foundations for Earth and Planetary Sciences is a course designed to introduce students to the fundamental concepts and techniques of data science, with a focus on applications in Earth and planetary sciences.

The accompanying repository, learn-data, is available at: https://github.com/ExPlanetology/learn-data

Dr. Dan J. Bower

Senior Scientist

Institute of Geochemistry and Petrology

Department of Earth and Planetary Sciences

ETH Zurich, Switzerland

Content

• Prologue
  • Overview
  • Instructional materials
  • Python
• Linear Regression
  • 1. Ordinary Least Squares
  • 2. Weighted Least Squares
  • 3. Bayesian Parameter Estimation I
  • 4. Bayesian Parameter Estimation II
  • 5. Case Study: Absorption Coefficient