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Coursera Project Network

COVID19 Data Analysis Using Python

Coursera Project Network via Coursera

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.

Syllabus

  • COVID19 Data Analysis Using Python
    • By the end of this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. in this Course, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consisting 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.

Taught by

Ahmad Varasteh

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4.6 rating at Coursera based on 1950 ratings

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