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Bewertung und Feedback des Lernenden für COVID19 Data Analysis Using Python von Coursera Project Network

1,894 Bewertungen
381 Bewertungen

Über den Kurs

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....



27. Juni 2020

This course is very good for beginners, although it misses out a lot of points in terms of professional data analysis...\n\nStill, if you are a beginner, you will benefit a lot from this course!


27. Nov. 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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276 - 300 von 379 Bewertungen für COVID19 Data Analysis Using Python

von Mausam k

6. Juli 2020

Really i learnt many things in this course. very helpful for those who have interest in data analysis

von Abdul W

25. Juli 2020

The project on covid19 analysis was awesome, I learned a lot.

The mentor explained things pretty well

von Sourav G

3. Nov. 2020

Beginner level project still very informative. Beginners will be benefited a lot from this project.

von Grace G N B

6. Juli 2020

Thanks Coursera and special thanks to Ahmad Varasteh Sir.. A very good project on current situation

von John J

2. Nov. 2020

a bit simple, some choices for analysis are arbitrary, resulting in so-so conclusions.

von richard j

18. Juni 2020

It is a good course for starters. You will get a basic overview of analysis in python

von Athul

11. Juni 2020

Good Project. But much more explanation is needed on the analysis and functions used.

von Hung K W

25. Juli 2021

Q​uite good overall, the project is simple yet the skills covered are very practical

von Sagor A

6. Juli 2020

This project type course was good but, the problem is with server pc, too much slow.

von Himanshu K

13. Juni 2020

The rhyme platform is not too compatible with practice, please work on that feature.

von Bahar R

1. Juni 2020

It's a beginner course, in my opinion. Interesting content though and good teacher!

von Josh A

8. Juni 2020

It could have been longer / covered more methods. But a good intro or refresher

von goodtomforever

23. Aug. 2021

More teaching on data analysis based on the dataset would be much more better.


2. Juni 2020

The course was quite good but there were some technical issues with the cloud.

von Gaurav k

22. Juni 2020

it will be better if you explain the graphs properly after filtering the data

von Humayara B R

23. Juni 2020

Good course to start at data analysis if you have basic knowledge of python.

von Shams U R

5. Juni 2020

Good course for basic understanding of data analysis process. Recommended!

von Pushpanshu

4. Nov. 2020

If you are learning Data Analysis by using code then it s bset for you

von Kontham b

11. Juni 2020

Might give much more explanation about the libraries and functions

von Gagan D 1

30. Okt. 2020

nice quick understanding of python notebooks and data analytics

von Raman P S

6. Juni 2020

This course is good for beginners and mediocre students.

von safia s

4. Juni 2020

Excellent course designed for standing data analysis

von Raika S

17. Juli 2020

A really nice project with very clear instructions!

von krishna s

22. Sep. 2021

It's a good hands-on project available now-a-days.

von Umesh K P

6. Juni 2020

Nice and easy for beginners in data science field