COVID19 Data Analysis Using Python
29.338 ya inscrito
29.338 ya inscrito
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.
En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.
En un video de pantalla dividida, tu instructor te guía paso a paso
por HP5 de jul. de 2020
The instructor's informative videos along with the facilitation of real time application of methods learnt through Rhyme made this a really worthwhile project.
por VK19 de jun. de 2020
If you are a beginner in python and have little experience in libraries like numpy, pandas, seaborn, go for this project. You will complete it within an hour.
por AK18 de jun. de 2020
Very good course... only improvements would be to allow people to download work... it doesn't work for some people. But great course.. highly recommended!
por SS15 de sep. de 2020
I like the course as a quick introduction to data analysis. Completion of this project was so fun as i took only couple of hours. I am satisfied with this course.