THIS CONTENT IS MOVING! Earth Analytics Python Course

We are moving our course lessons to an improved textbook series. All of the same content will be improved and available by the end of Spring 2020. While these pages will automagically redirect, you can also visit the links below to check out our new content! Our course landing pages with associated readings and assignments will stay here so you can continue to follow along with our courses!

Earth Analytics Python CourseEarth Lab CU Boulder

About the Earth Analytics Python Course

Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data’. This course is designed for graduate students and students participating in the Earth Data Analytics Professional Certificate.

Course Overview

Throughout the course we will use computationally intensive techniques to address scientific questions. We will use a suite of different types of publicly available data including:

  • Satellite and airborne lidar and spectral remote sensing data,
  • Data collected using distributed in situ (on the ground) sensor networks
  • Social media data, and
  • Basic demographic data.

This course is technical. We will use the Python scientific programming environment and the Jupyter graphical interface to work with data.