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学生对 Coursera Project Network 提供的 COVID19 Data Analysis Using Python 的评价和反馈

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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....



Jun 27, 2020

This course is very good for beginners, although it misses out a lot of points in terms of professional data analysis...

Still, if you are a beginner, you will benefit a lot from this course!


Nov 27, 2020

i guess it is a fun course ad very easily managed via rhyme notebook. i guess anyone with interest in data science can come here and catch some curiosity or understand what they need to learn.


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