DataHour: Handling Satellite and Geospatial Raster Data in Python

Online 30-05-2023 07:00 PM to 30-05-2023 08:00 PM
  • 8141


  • Knowledge and Learning.


About the DataHour:

The upcoming DataHour on "Handling Satellite and Raster Data in Python" is an essential event for anyone interested in processing and analyzing spatial data. The session will cover a range of topics that are critical to effectively handling satellite and raster data in Python.

The session will begin with a discussion of where and how to obtain satellite data. Attendees will learn about different sources of satellite data and how to access and download the data they need. The speaker will also cover how to open satellite data and provide attendees with tips and tricks for working with large datasets.

Throughout the session, attendees will gain hands-on experience with Python code examples and learn practical tips and tricks for effectively handling satellite and raster data in Python.

No prerequisites, people of any domain or any work experience with an interest in AI can join.

Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Pareekshith Katti

Senior Data Scientist at Ambee

Pareekshith is currently working as a Senior Data Scientist at Ambee. He has been working with geospatial data for 3.5 years now. He is an efficient speaker willing to share with the community the knowledge he possesses. and medium 

Connect with him on LinkedIn and medium 


Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest



We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.


We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.