Build an online course for beginners in "geoprocessing using python and jupyter"

Data input/output, data visualisation, spatial analysis, and task automation for geoprocessing are some of the topics covered in the course. Students will learn how to handle various kinds of geographic data using well-known open-access Python libraries like pandas, geopandas, and rasterio as well as how to use Jupyter notebook to build interactive, repeatable, and well-documented data analysis workflows. In order to give students hands-on experience with the tools and techniques covered in the course, the course is likely to include exercises and projects.