COVID-19 Data Science Urban Epidemic Modelling in Python

Spatial Data Analysis, Modelling, and Data Visualization of the coronavirus epidemic

Created by: Gevorg Yeghikyan
Spatial Data Science, Machine Learning, Urban Informatics

What Will I Learn?

• Create beautiful animated visualisations of a simulated epidemic spreading in a city using only Python
• Use Python to run simulations of epidemics in a real city with real human movement data
• Gain access to real urban mobility flow data and start analysing it!
• Understand and code mathematical models in Python
• Have a solid grasp of essential spatial data concepts and data types
• Learn many tips and tricks to enhance your coding and data visualisation skills
• Follow through the course code and materials and test your knowledge with quick exercises and tests
• Have access to all the scripts and datasets used in the course as a reference point for your own projects

Requirements

• Just some basic high school math
• Basic familiarity with Python and Jupyter Notebooks
• No prior knowledge of epidemiology required as this course is about spatial analysis and visualisation with Python
• Curiosity and a desire to learn!

Target audience

• Everyone interested in modelling and making animated spatial visualisations in a city
• Beginning data science enthusiasts with basic Python & numpy familiarity
• Spatial analysts used to QGIS/ArcGIS who would like to boost their Python skills
• Urban planners and policy makers with basic Python & numpy familiarity