Data Analytics with Social Sensors Data for Disaster Management

This course is for anyone interested in applying analytics skills to handle tedious social sensor data.

Objective

The objective of the course is to provide a good understanding of how to process real-world disaster datasets. Participants will have good insights into how disaster data can be analyzed to extract useful information for the purpose of prevention/early detection of natural disasters.

Participants will have good insights into how disaster data can be analyzed to extract useful information for the purpose of prevention/early detection of natural disasters.

• Basic understanding of Natural Language Processing.
• Basic programming skills in Python.
• Basic knowledge of Machine Learning Algorithms.

• Introduction to Social Sensors Data for Disaster Management
• Data analysis methods and techniques
• Early prediction of disasters and managing with AI methods