DLSEI 3.0 Cohort 3 registration has been closed.

Climate Geospatial Analysis on Python with Xarray

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

4.30

Rating out of 5

Guided project Level

Recommended experience

2.00 Hours

Learn at your own pace

Data Science

Domain

About this guided project

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.

What skills will you gain?

Spatial Analysis

Spatial Data Analysis