Geoprocessing using Python | Free course from ISRO | Python programming language

 Hello Everyone! Welcome to my blog. Today I am back with another post. ISRO has launched its free online course on Geoprocessing using Python Programming language. Here you can get the Overview of Geoprocessing using Python Language. This course is mainly beneficial for all those who know the basic of python and never got a chance to work on some project.

Check out complete post for more details:

Geoprocessing using Python | Free course from ISRO | Python programming language

About ISRO Free Online Course on Geoprocessing

Today a large amount of satellite imagery and geospatial data collected from different sources are available free of cost. Satellite imagery combined with the power of a Geographic Information System can be a great tool for supporting environmental management, disasters, global climate change, natural resources, wildlife, land cover, and many other applications. 

Processing this vast amount of data in a time and space-efficient manner and deriving useful information and knowledge from data is one of the most challenging aspects of geospatial technology. We invite you to attend this training program on Geoprocessing and visualization on web platforms. 

**The course is scheduled from January 17-28, 2022.

Course Content 

  • * Overview of GIS and different geospatial data types 
  • * Overview to Python programming
  • * Introduction anaconda and Jupyter notebook 
  • * Raster data processing, resampling, and analysis 
  • * Vector data processing and analysis 
  • * Geo-spatial data visualization on web 
  • * Familiarization with various open-source geospatial data processing libraries e.g. GDAL, Geopandas, etc.

Pre-Requisite 

  • * Familiarisation with Basics of Remote Sensing and GIS 
  • * Basic knowledge of computer programming preferably in python


**You will get a free certificate from ISRO on successful completion of the course based on 70% attendance and 40% in the online examination.


Click the above link for more details.

Thank You!



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