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返回到 COVID19 Data Analysis Using Python

學生對 Coursera Project Network 提供的 COVID19 Data Analysis Using Python 的評價和反饋

4.5
1,828 個評分
374 條評論

課程概述

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....

熱門審閱

RP
2020年6月27日

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!

DD
2020年11月27日

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.

篩選依據:

326 - COVID19 Data Analysis Using Python 的 350 個評論(共 372 個)

創建者 Nikhil S

2021年8月2日

good

創建者 Adarsh K

2020年9月6日

good

創建者 Prabhukishore

2020年8月26日

good

創建者 Ayush S

2020年7月26日

GOOD

創建者 Gayatri S

2020年7月25日

good

創建者 vineeth

2020年6月20日

good

創建者 JYOTSNA 1

2020年6月11日

good

創建者 Howard R

2020年11月8日

I was unable to finish the course, because I passed the test. I thought I could go back and finish. During the project, the Rhyme session kept timing out. I never got passed the second video. I truly haven't learned all that is necessary to use pandas and python to analyze the data. Though, I was able to pass the test

創建者 CARLOS G E M

2020年6月14日

Buena introducción a pandas pero usar Rhyme con una conexión lenta de internet es muy estresante, prefiero usar mi propio editor de texto. además podriamos usar Plotly para construir los graficos, me parece más atractivo que matplotlib.

Fuera de eso, excelente curso, gracias!

創建者 MD A R A

2020年11月6日

The free courses are better but it should add more free course for that the students are improved a lot. Beside that it needs bangla subtitles for make it more understing.

創建者 Sarvesh M

2020年11月26日

A really good project for data analysis practice. I had no idea about Pandas, NumPy or any data management library. I just learned a lot from this project.

創建者 Roy S

2020年12月28日

Could not get 2nd file to load, hence couldn't finish. Could not see how to report this.

Surprised that final exam had only one question based on results.

創建者 Preet K

2020年9月19日

It was a good course, my main Issue Is that the .diff function In pandas Is for difference, not derivative!

創建者 Ritik S

2020年6月19日

I didn't like the tool "Rhyme". The cloud desktop was quite slow but overall it was a fine experience

創建者 abhishek s

2020年6月9日

The project was well explained but the questions and assignments could have been bit more tougher

創建者 Ankur K

2020年7月27日

The Rhyme Environment was very poor. It was not at all stable especially with a slower internet.

創建者 Girish D K

2020年7月21日

Should provide detail information about the module imported while analiysing the data

創建者 Yashika N

2020年8月11日

The data provided some good insights. However, the breadth and depth was limited.

創建者 Ankita A

2020年11月6日

u just completed till 5 but there are 5.4 in cloud space .overall it was good!

創建者 Aditya D

2020年6月4日

Well structured course . Provides valuable knowledge in a short time.

創建者 Thibault L

2020年11月5日

The project in itself is fine. But Rhyme is awful, slow and buggy.

創建者 Aditya

2020年6月7日

It was a bit too easy but the content is good for beginners.

創建者 Jhenny V

2020年8月19日

this shows an intermediate level but is lower than that.

創建者 Yijia G

2020年7月3日

Kind of easy and do not worth money and time.

創建者 Mike M

2020年12月15日

Trying to disenroll but there is no option