Chevron Left
Back to COVID19 Data Analysis Using Python

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

4.5
stars
1,966 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

KU

Jul 30, 2020

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

KC

Jun 17, 2020

I found the instructor very helpful and through with the concepts. Would love to join another project with perhaps more advanced data analysis .

Filter by:

226 - 250 of 386 Reviews for COVID19 Data Analysis Using Python

By Shivaani S 1

•

Jun 21, 2020

Very goof

By Abdul A

•

Jun 12, 2020

It's good

By Mukul K M

•

Jun 9, 2020

excellent

By Sakshi S

•

Aug 8, 2020

Thankyou

By Nguyen T N K

•

Jun 17, 2020

verygood

By AMARNATH

•

Jun 14, 2020

Good job

By Sneha A

•

Feb 16, 2022

Amazing

By Shreesh D

•

Jun 26, 2020

Awesome

By Elliott P

•

Jun 20, 2020

Pefect!

By ANKIT S

•

Jun 16, 2020

go ...

By Prashant R

•

Mar 26, 2021

thanks

By Shera R F

•

Jun 28, 2020

good!!

By Aashrut V

•

Jun 16, 2020

Great!

By MAYANK R

•

Jun 6, 2020

good !

By Ishita

•

Mar 17, 2021

Great

By VINOTHPANDI K

•

Sep 17, 2020

Super

By Nishith R R

•

May 24, 2021

Good

By premchand c

•

Nov 23, 2020

good

By AJAY T

•

Sep 20, 2020

Nice

By Harshitha K

•

Sep 10, 2020

Good

By Dr. S R

•

Aug 24, 2020

good

By Aman R

•

Jul 29, 2020

good

By عمر م ا

•

Jul 6, 2020

good

By UMRAZ H

•

Jun 24, 2020

good

By tale p

•

Jun 24, 2020

good