This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.
par Antti S•
Lectures and other material just don't cover the information needed in the course project. Majority of the learning has to be done outside of this course, in order to pass the course project.
I cannot recommend this course anyone who is not deeply familiar with the topic already. The course project is truly frustrating!
par Shanmuga P•
Expected more explanation with the teaching part, detailed lecture depicting live examples is needed to explain each and every module of the course. similar examples like Assignments can be taught by hard-coding them with RStudio
hoping that these things can change with the next courses which I'm enrolling
par Diogo M•
MUito rápido o conteúdo e o fato do suporte ser somente o fórum deixa o curso vago, achei muito fraco os slides e o método de ensino.
Poderiam focar mais em exercícios e nos comandos mais difíceis, pois quando chega nos assignments fiquei perdido por não ter conseguido realizar da forma esperada.
par Michael O•
Basically impossible to complete quizzes and course project using the provided course material. Poor correlation between instruction and testing. Makes one wonder: If I need to solicit others' guidance to complete your tests, why am I paying for your guidance in the first place?
par Jeffrey G•
Why are people writing extensive blog posts contemplating the vague wording of the final assignment when you could just *fix the assignment*? Also, one of the worst explanations of regular expressions I've ever heard.
par Jan-Willem A•
There are quite a few issues with the final assignment of the Getting and Cleaning Data course. I feel this assignments lacks quality in contents, suffers from a flawed process and lack of attention by the moderator.
par Minh V•
The instructor did not devote his time to teaching. Slides were poorly prepared. Links are not working. Although many students have raised the issues, nothing has been done for years.
par arif v•
Doesn't worth the effort. You learn the most by searching online tools each time you encounter a problem while solving a quiz problem or following the steps the instructor did.
par sotiris k•
almost all the videos from week 1 are outdated making it impossible to follow the course,i will propably drop it,this is something that should be addressed by coursera.
par Jayashree K•
The course material was not of much help. Felt lost while doing the assignments. The instructor keeps forgetting that this is a beginners level course
par Brian M•
This entire program is an atrocious waste of time and resources. Get a book on Learning R from your local library and you'll be better off.
I may not able to submit the peer graded assignment. please help me to solve this. My progress is pending because of this assignment
par Alexander T•
all the practical things had to be learned by self learning instead of in the course. Peer graded assignment took for ever to pass
par Yashar A•
The worst! I don't recommend you to take any course from this institute. It is just wasting time and money.
par Indraneel B•
Description of assignment questions is not clear. The expected answer from the questions are confusing.
par Sreevalsan M•
The peer grading looks weird. I got a comment on my original work "seemed to be not written by me".
final project is terribly defined. Lecturers, Coursera, and Johns Hopkins should all be ashamed.
par Josh H•
Very scattered and unfocused course. Sad to say that I learned very little from this one.
par abhishek s•
This is just because of the unclarity of the final assignment.
par Ian H•
Terrible! Go to Data Camp and save a bunch of money!!!!
par Ahmed H E•
the learning way in this course was bad, to me
par BabaK K•
It is more about R rather than data science
par Du Z•
Poor teaching! Almost a waste of time.
par JaeHyun L•
I don't think it's necessary lecture
par Ankit A•
lectures are too fast.dropping out.