Simulating Viral Pandemics in Python

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Simulating Viral Pandemics in Python provided by Coursera is a comprehensive online course, which lasts for 1 week long. Simulating Viral Pandemics in Python is taught by Melissa Al-Shaer and Charles Ivan Niswander II. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • In this 1-hour long project-based course, you will learn basic principles of agent-based SIR models and how one can be implemented in Python. Together, we will explore basic Python implementations of SIR differential equations and agent-based modeling from scratch. This will be accomplished using Matplotlib and Numpy.

    I encourage learners to experiment. What other variables can be added? Can our variables be represented better? What limitations do we come across? The learner is highly encouraged to experiment beyond the scope of the course.

    After you finish the course, you will have the basic knowledge of building a mathematical simulation to model the transmission of a pandemic contagion.

    Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.