Hurricane Tracking with Satellite Data
Offered By: University of Strathclyde via FutureLearn
Course Description
Overview
Analyse satellite data of hurricanes and explore descriptive statistics
Regularly causing major global destruction, hurricanes are intense storms with devastating winds. Space-enabled data allows us to observe, monitor, and track hurricanes from a safe distance. Although easily accessible, large volumes of satellite data have been left untouched due to a lack of skilled data analysts.
On this course, you’ll explore the key concepts of data science required to process, analyse, and interpret large datasets. You’ll use tutorials and case studies to understand the possibilities within these datasets, and learn how to interpret satellite data beyond the course.
This course is for anyone interested in learning something about hurricanes or satellites, or those interested in starting to code in Python.
Anaconda with Python 3.0 (free to download).
Syllabus
- Getting Started
- Introduction to the course
- How It Works: Hurricanes aka Tropical Cyclones
- How It Works: Satellites
- Your Turn: Getting started
- End of week activities
- Hurricane Prediction
- Damages of the Past
- How It Works: Hurricane Measurements
- How It Works: Hurricane Forecasts
- Your Turn: Visualize Hurricane Data
- End of week activities
- Hurricane Preparedness
- How It Works: Emergency Response Using Satellite Data
- Your Turn: Emergency Response
- End of week activities
- The Storm is Here!
- Haiti During Irma
- How It Works: Satellite Data
- Your Turn: Time Lapse of Hurricane
- End of week activities
- The Aftermath
- How It Works: Damage Assessment
- Your Turn: Assessing the Damage
- End of week activities
- Acknowledgements
Taught by
Astrid Werkmeister
Tags
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