ISRO is offering Python Free Training With Certificate
ISRO |
As you are aware that due to prevailing pandemic situation in the country students are attending IIRS distance learning courses from their respective residence. Hence invigilation during the examination is not possible. IIRS management has decided to make the examination as “Self-assessment” practice for IIRS distance learning courses till further notice. In this changing scenarios, the examination will not be considered as mandatory criteria to receive the certificate. The participants will receive a Certificate of Participation based on their attendance during the course. However, the participants are encouraged to participate in online self-assessment quiz for enhancing their knowledge and skills. The minimum attendance criteria will remain as 70% for the certificates.
Today large amount of satellite imagery and geospatial
data collected from different sources is available at free of
cost. Satellite imagery combined with power of 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 time and space
efficient manner and deriving useful information and
knowledge from data is one of the most challenging aspect
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
At the end of this course participant must be able to
Write program in python to read, write and process
different raster formats.
Write program in python to read, write and process
different vector formats.
Write program to visualize geospatial data in form of
maps, images etc.
Overview of GIS and different geospatial data types
Overview to Python programming using
Introduction anaconda and Jupyter notebook
Raster data processing, resampling and analysis
Vector data processing and analysis
Geo-spatial data visualization on web
Familiarization to various open source geospatial data
processing libraries e.g. GDAL, Geopandas etc.
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