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Learner Reviews & Feedback for COVID19 Data Analysis Using Python by 糖心vlog官网观看 Project Network

4.5
stars
1,965 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鈥檙e currently working on providing the same experience in other regions....

Top reviews

DD

Nov 28, 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.

DB

Oct 30, 2020

Very Informative. You do not have to know a lot of Programming to follow along, just a bit of basic should be Enough. Concepts are very well explained and the course is just at the right pace.

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76 - 100 of 386 Reviews for COVID19 Data Analysis Using Python

By Mario A C S

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Sep 15, 2020

Great course if gives you a nice introduction to Pandas data analysis andd capabilities

By Akash K

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Sep 16, 2020

Thank you coursera! This guided project really motivate me to do projects on my own.

By Roshan J

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Jun 22, 2020

Great hand-on project to work with corona virus dataset.

All thanks to the instructor.

By Rehab E E

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Jun 7, 2020

excellent project for my portfolio, the tutor put nice steps and explained them well.

By Yogesh

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Jun 2, 2020

AN AWESOME COURSE, WITH HANDS-ON SESSION IT, MADE US UNDERSTAND THE TOPIC MUCH BETTER

By Vitalijs B

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Nov 15, 2020

I had previous knowledge of Python, and this course helped me to improve my skills.

By Diego F B H

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Nov 9, 2020

A pretty good explanation and the way to explain was very interesting. Thank you :D

By Pablo G H

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Apr 6, 2023

Excelente curso para aplicar tus conocimientos de python, sns, matplotlib y pandas

By Punam P

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Jun 17, 2020

Very Nice course to beginners.. Thank you team & University for such a platform..

By Assma A

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Aug 9, 2020

Thank you very much. The course is very simple and the explanation is very clear

By Amelia J T

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Jan 24, 2021

This is a quick introductory Python data analysis project. I really enjoyed it.

By Ashish G

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Sep 20, 2020

Course pace was good. need to explain more project as MITBIH arrythmia database

By Maria D

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Jul 27, 2020

Great Course.I loved learning it.Thank you to the mentor for making it simple .

By dilkeshwar p

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Jun 5, 2020

well explained how to analyse datasets with python. my gratitude to instructor

By Suci K P

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Jun 12, 2020

Love it. it suitable for beginer because it's easy to understand, sistematyc.

By ABHIJEET R S

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Aug 9, 2020

It was really very nice. Too much informative . Easy to understand.Thank you

By Anjali A N

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Jul 3, 2020

Had an amazing experience and the mentor taught each step exceptionally well

By Chintoo K

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Nov 7, 2020

Nice and informative explanation by the instructor throughout the project

By Abid I

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Aug 14, 2020

it was a very good course, and very practical one. and easy to understand

By Carolyn O

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Nov 25, 2021

A pattern you can reuse. Truly 90 minutes. Covid questions are relevant.

By Usaid A

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May 2, 2021

The project was comprehensive and focused on Data analysis, I love it

By Akash

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Jul 6, 2020

A learning project. Learned to implement many things in this project.

By Muhammad U M

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Jun 9, 2020

Nice way to visualize the impact of corona. Great learning experience

By Mahfooz A

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Jun 25, 2020

I learn many thing with this project.

Thank you for wonderful guide

By malepati r

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Jun 4, 2020

Good and short course for better understanding,

Thank you, 糖心vlog官网观看