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Learner Reviews & Feedback for COVID19 Data Analysis Using Python by Coursera Project Network

4.5
stars
1,957 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

RP

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!

DD

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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376 - 386 of 386 Reviews for COVID19 Data Analysis Using Python

By Deepak G

•

Jul 13, 2020

It's not for intermediates. It's for beginners, that's all.

By Bharathi N

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Jul 29, 2020

Never got the response about cloud session extention.

By Naeem R

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Mar 9, 2023

Too basic.

By Balazs L

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May 5, 2022

The technical part was good, but the analysis contained a rookie mistake, and instead of realizing it, the instructor doubled down and used a logarithmic plot to prove correlation where there wasn't one. During the analysis, the maximum number of daily new cases was plotted against GDP per capita and life expectancy. Without accounting for country size. Number of cases should have been normalized. The bias resulting from the sizes of the countries not taken into account was probably the main reason for the correlation. There was also a visible error in China's reporting of daily covid numbers (a huge spike on 2020.02.12) which wasn't addressed. I think this is an example of bad data analysis.

By Nicole E

•

Apr 7, 2024

If I could give this negative stars, I would. The instructor was fantastic. The font in both the instructor video was too small, and the workspace cut me off at 20 min and I was unable to return to it. I want a refund on my $9.99. Save your money and spend it on literally anything else.

By BHAVYA H

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Jul 8, 2020

There should be some sort of support for error solving / debugging. It can be frustrating for a beginner like me..

By Megha s

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Jun 21, 2020

my cloud is not working it has been two days i have been writting in the chat box but no one replied

By Partho U

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Aug 18, 2020

I am unable to view or work on my project as my deadlines are not getting reset.

By Firdaous H

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Nov 20, 2020

8euro for a short project is expensive !

By Repaka S S

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Aug 2, 2020

rhyme session is expiring by a second

By Wojciech S

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Oct 9, 2020

It's not worth its money.