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Earth Analytics in Python Course

Author(s): Leah Wasser1, Jenny Palomino1, Chris Holdgraf2

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

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Summary:
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’.

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

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

Keywords

  1. data analysis
  2. data
  3. data types
  4. data science
  5. earth science
  6. python
  7. permafrost
  8. remote sensing
  9. floods
  10. Geographic Information System (GIS)
  11. data science education
  12. computer programming
  13. wildfire
  14. earth analytics

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  2. Audience Level
  3. Activity Length
  4. Open Science and Education Practices Ontology
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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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