Climate Geospatial Analysis on Python with Xarray

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Climate Geospatial Analysis on Python with Xarray provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. Climate Geospatial Analysis on Python with Xarray is taught by Danilo Lessa Bernardineli. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • By the end of this project, you will be able to load, visualize, manipulate and perform both simple and grouped operations over geospatial multidimensional data through Xarray and Python.

    We'll explore an dataset containing temperature, vegetation density and total precipitation over the Brazilian Amazon for the 1979-2019 period while the concepts are developed.

    This will enable the learner to handle and extract knowledge from complex datasets such as the ones from satellite and climate re-analysis observations.

    Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.