Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera Project Network

Climate Geospatial Analysis on Python with Xarray

Coursera Project Network via Coursera

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
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.

Syllabus

  • Project 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.

Taught by

Danilo Lessa Bernardineli

Reviews

4.4 rating at Coursera based on 37 ratings

Start your review of Climate Geospatial Analysis on Python with Xarray

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.