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