COVID19 Data Analysis Using Python
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.
The instructor's informative videos along with the facilitation of real time application of methods learnt through Rhyme made this a really worthwhile project.
This is very good this can help me in my personal project and my analysis in Data Science thank you coursera offer me this project as well as instructor of this project
The tasks were easy and they helped me review my skills in Python programming and data analysis. The instructor gave very clear instructions and enough time for practice.
Hi , this is chaandhini...very intresting course ...learned lots about data analysis using python...the instructor taught very friendly and really he is awesome...