Back to COVID19 Data Analysis Using Python
Learner Reviews & Feedback for COVID19 Data Analysis Using Python by Coursera
1,969 ratings
About the Course
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.
Top reviews
PD
Jul 10, 2020
great project for a beginner and intermediate to work upon, keep making these type of guided project and try to make it a bit lengthy(should be more 1 hour) :)
DB
Oct 29, 2020
Very Informative. You do not have to know a lot of Programming to follow along, just a bit of basic should be Enough. Concepts are very well explained and the course is just at the right pace.
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