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Earth Analytics in Python Course

By Leah Wasser1, Jenny Palomino1, Chris Holdgraf2

1. Earth Lab - University of Colorado, Boulder 2. University of California, Berkeley

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’.

Listed in Teaching Materials | resource by group Earth Lab Earth Analytics Education

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Version 1.0 - published on 01 Nov 2019 doi:10.25334/SH4R-QH25 - cite this

Licensed under CC Attribution-NonCommercial-NoDerivatives 4.0 International according to these terms

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Description

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.

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.

Citation:

Leah Wasser. (2018, December 11). earthlab/earth-analytics-python-course: Version-1.0 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.2209415

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