HS
2 mai 2020
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.
DH
1 févr. 2016
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 Michael O
•29 oct. 2016
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
•6 juil. 2017
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
•15 mars 2016
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
•7 sept. 2020
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 Javier G
•17 mars 2022
Awfull outdated material. The packages mentioned do not work with the current RStudio version. The presentation sheets are protected (all pictures) instead of extractable text.
par arif v
•2 mai 2017
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
•16 oct. 2020
almost all the videos from week 1 are outdated making it impossible to follow the course,i will propably drop it,this is something that should be addressed by coursera.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 jayasree
•16 juil. 2020
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
•21 oct. 2021
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.
par R.Sangeetha
•4 août 2020
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 Alex T
•20 juil. 2017
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
•5 mai 2016
The worst! I don't recommend you to take any course from this institute. It is just wasting time and money.
par Indraneel B
•1 mai 2016
Description of assignment questions is not clear. The expected answer from the questions are confusing.
par Sreevalsan M
•17 juin 2020
The peer grading looks weird. I got a comment on my original work "seemed to be not written by me".
par Tom
•7 juin 2017
final project is terribly defined. Lecturers, Coursera, and Johns Hopkins should all be ashamed.
par Josh H
•25 oct. 2017
Very scattered and unfocused course. Sad to say that I learned very little from this one.
par abhishek s
•25 févr. 2016
This is just because of the unclarity of the final assignment.
par Ian H
•12 avr. 2018
Terrible! Go to Data Camp and save a bunch of money!!!!
par Ahmed H E
•29 août 2019
the learning way in this course was bad, to me
par BabaK K
•9 janv. 2019
It is more about R rather than data science
par Du Z
•30 août 2017
Poor teaching! Almost a waste of time.
par JaeHyun L
•5 nov. 2018
I don't think it's necessary lecture
par Ankit A
•13 déc. 2016
lectures are too fast.dropping out.
par Alexandros T
•5 août 2016
Poorly constracted course!