DataHour: Geospatial Data Analysis

About the DataHour:

In this session, we will be learning about the powerful Python library, GeoPandas. Developed as an extension to the widely-used Pandas data analysis library, GeoPandas provides an intuitive and efficient interface for handling geospatial data in Python. With GeoPandas, we can easily read and write common geospatial data formats, including Shapefiles and GeoJSON, and perform various operations on geospatial data with the familiar syntax of Pandas. Join us to explore the world of geospatial data analysis with GeoPandas.

Prerequisites: Basic understanding of Python language and enthusiasm for learning Data Science.

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

Note: E-Certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please join the Zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.

Speaker:

Munmun Das

Principal – Automation and Innovation at Accenture

Munmun is a professional and research scholar with 16 + years of experience in Software Project Management, Product development, Product strategy, and delivery of large-scale, complex automation/transformation solutions, and web and mobile applications. She has mentored industry tech-force as an Industry Speaker, Corporate Mentor, and Guest Lecturer. She is also a Doctoral Researcher, working on the Risk Management of Sustainable Smart Cities enabled by AI, IoT, and Blockchain; with a couple of my white papers being highly acclaimed and recognized.

Connect with her on Linkedin