COVID19 Data Analysis Using Python

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COVID19 Data Analysis Using Python provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. COVID19 Data Analysis Using Python is taught by Ahmad Varasteh. 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 project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.

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