Data Analytics with Social Sensors Data for Disaster Management

Data Analytics with Social Sensors Data for Disaster Management

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Start Date: January 31, 2023

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Last date to register: January 13, 2023

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Course duration: 20 hours

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Cost: donation

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Skill level: beginner

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Course Description

For whom is this course

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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.

What you will learn

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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.

Prerequisites

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

Syllabus

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

Course Features

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Lectures: Updating

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Duration: 20 hours

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Students: 50

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Certificate: yes

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Cost: donation

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Skill level: beginner

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Video

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Instructor

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Malik Maniv Sehgar

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Data Engineer at Synapse Innovation SDN.BHD

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