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.
KU
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
IO
This coruse is absolutely recommended for everyone, regardless of your knowledge in Pyhton programming language. I absolutely had a fun time learning from the pleasant project instructor!
SM
This course is well structured I was going to give it 6 stars if I could see/download my written work. Otherwise, my expectations were sufficiently met.
HP
The instructor's informative videos along with the facilitation of real time application of methods learnt through Rhyme made this a really worthwhile project.
SD
I like the course as a quick introduction to data analysis. Completion of this project was so fun as i took only couple of hours. I am satisfied with this course.
AN
Very good project for beginners!! It focusses on a present topic and also explains how basic analysis and correlations can be incurred from the datasets that are available!!
AK
Very good course... only improvements would be to allow people to download work... it doesn't work for some people. But great course.. highly recommended!
CC
Hi , this is chaandhini...very intresting course ...learned lots about data analysis using python...the instructor taught very friendly and really he is awesome...
RS
I had a wonderful experience in this course also I'd love to learn more from the instructor as he explains everything so well that a rookie can start without fearing anything.
RP
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
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.
VK
If you are a beginner in python and have little experience in libraries like numpy, pandas, seaborn, go for this project. You will complete it within an hour.
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One simple panda example and cost $9.99 USD? How expensive!
This course was disappointing. The objective was to compare the number of covid cases in a country to values from a happiness database. To achieve this the raw number of covid cases in a country was compared to things like GDP per person. It would have been a valid comparison if the number of covid cases was adjusted to reflect covid cases per population. As it was presented, the comparison is absurd.
If you are a beginner and started learning Data science. Try this project out for sure. We will get a hands on experience on basics of pandas, dealing with datasets more easily and usage of different functions. I personally took this project immediatly after taking "Introduction to Data Science in python" and it is awesome!
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!
If you are a beginner in python and have little experience in libraries like numpy, pandas, seaborn, go for this project. You will complete it within an hour.
it was very easy and less informative.
A well explained and guided project by the instructor. He gives us a chance to answer a few queries ourselves which helps and improves our confidence. I would recommend anyone who has a basic understanding of python to go ahead and spend 2 hours on this project. No harm in getting to know things practically. Well done.
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.
This guided project is very well structured and easy to follow. Highly recommended for beginners to gain valuable hands-on exposure in python programming and Data Analysis.
Very Friendly Project for the Beginners. Ahmad Varasteh is an amazing Instructor. Looking forward to learn from other projects of him.
The project is too easy. What is worse is that it does not result in any meaningful outcome. Analysis is lame and basic if any at all: pd.head, pd.drop, pd.join, sns.scatter, sns.regplot pretty much sum up the entire scope and analysis of this project. It was a complete waste. I was really looking forward to this project given the ratings but very deeply disappointed.
I am giving this project 5 stars because I had so much fun with it, and for the following reasons:
1- You learn a great deal about python and its libraries
2- All it takes is a few hours
3- The instructor does all the work for you.
4- It isn't stressful
5- To have done it without the instructor's step-by-step guidance, it could take you months to learn it
6- The instructor is pleasant and humble
7- A great project for someone who has a little knowledge of python.
The rest is up to you. You can pursue the subject further and acquire an important skill that will help you in so many ways. I highly recommend this experience.
Very good project for practicing basic to intermediate data science skills.
The project touches on pandas, numpy, matplotlib, seaborn, scatterplots and regression plots.
This project shows you how to take two different csv files and combine them into one data frame for analysis.
Overall, a very good project that I would recommend to anybody looking for a quick reinforcement project.
I would give it 4.5 if the coursera allows me to do so. I understand that it is supposed to be a concise project, so the instructor does not get time to explain the library he used in detail. But it would really be helpful if he could mention the general features of the pandas, bumpy, etc. at the beginning.
This coruse is absolutely recommended for everyone, regardless of your knowledge in Pyhton programming language. I absolutely had a fun time learning from the pleasant project instructor!
This project is suitable for people who have few Python programming and data analytics experience. You will spend approximately 1.5 hours to complete this guided project. Good luck!
It was so good, the instructor was discussing all the things very clearly, it helps me alot to learn and analyze the real covid19 related data. Thanks Coursera!
Interesting project using great visualization tools. If you want to know the capabilities of python in data analysis then this is it. However, you will to have some familiarities with the modules but even if you don't, there's a good chance that you will still be able to follow along as the instructor explained what the methods do.
Lo recomiendo bastante, un proyecto muy interesante y aprendes nuevas funciones de diferentes librerías.
I totally recomend this course, an interesting project where you can learn new functions of different libraries in Python and the teacher is great explaining everything.
This project has been an experience and would like to do more of such projects. If more information about the methods as text been provided, it would have been perfect. I would like to thank the instructor for providing everyone, with such an opportunity.