14 avr. 2020
As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
7 sept. 2017
It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
par Deleted A•
5 avr. 2016
The course was fine, but I think it should be offered for free even if someone is doing the data science specialisation track. It is really just teaching you what data science is, and how to install a few programs.
par Chris C•
1 nov. 2018
There has to be a more engaging way of introducing course material. For example, by showing someone actually using these commands in the videos vs. just putting the Git, R commands in a power point bullet format.
par Sergio M•
25 avr. 2017
It's a good introductory course, but it's very basic and I feel that I paid a lot for a very basic experience. I do understand it is the first step in a full specialization but I think it can be more challenging.
par Kanaparthy V N•
30 mai 2020
Its always good to have a real teacher's voice rather than an automated. There were also a lot of instances where number of questions were asked even though they weren't taught in the class.
Overall, it was good
par Jeff G•
26 sept. 2016
It is a very basic course to give you high level of what the course is going to cover and the tools that will be used throughout the course. If you have much programming background this course will be a breeze.
par Sebastien M•
4 sept. 2016
Well presented, but this course should be optional in in the specialization. There isn't really enough material to justify it, but it does cover the basics for someone with little to no development experience.
par Ghodratollah A•
13 mars 2016
With many thanks to the instructors, I expected to learn more. I did not learn as much as a 4-week course in Coursera. Please include more materials and avoid advertising for other topics in the future courses!
par RISHABH G•
21 janv. 2018
The Course is very well designed and anyone who pursues it gets very well acquainted with the applications and tools . But i would like to suggest that this course can be completed in 7 days instead of a month
par Truong T•
19 juil. 2017
The length of the course, in my opinion, is a little bit too long. Actually it took me only 3 days to complete this course and I am not really a brilliant one. So I think maybe may will have the same opinion.
par Dave N•
16 mars 2017
Not a bad intro; I don't know if anyone would benefit taking this as a standalone (or for an entire 4 weeks, for that matter). Still, it introduced some solid concepts for professionals and scholars, alike.
12 mai 2020
Though the content of the course is nice, i wasn't completely comprehend everything. I was expecting to see a lot of explaining using the live screen mode, i.e., explanation while operating on the desktop.
par mathias b•
15 août 2016
This is a really basic course. If you have never touch code before, it's more useful, but little is actually covered here and the gap between it's contents and the next class, R programming is dramatic.
par Chris H•
15 déc. 2016
Super basic, each week was only about 30 minutes of video lecture... but I think that was their goal? Bad form on coursera for making you pay to submit assignments that are autograded to begin with.
par Geoff S•
27 juil. 2016
This is a required course in the Data Science specialization. If you're planning to take that specialization, you should start with this course. If not, you shouldn't bother - there's not much here.
par Michal Š•
12 août 2016
As a software engineer I found this course a bit useless, but I do understand other people don't have the same background. Having said that, I believe it should be optional in the specialization.
par Yueming P•
18 nov. 2017
It's a great course. But the peer-graded setting of projects really delays the grant of certificate. It took me more than two sessions of waiting just to get a grade for the peer-review project.
par Michele B•
13 sept. 2018
Very basic, can be done in one day! However, we always need something simple to begin learning something new. Also, it was useful to have some guidance in the installation of the various tools.
par Alan Z•
29 mai 2016
The course is basic, and quite simple. Some might say too simple. I think it should be about 1 week long. I already knew all the things going into it so it was easy to finish it over two days.
par Antonio M•
23 mars 2021
unforutnately automatic video are quite hard for non native speaker. You always need to revert to reading material
the intro to R should be extended with more practical exercises and examples
par Joseph S•
1 févr. 2020
The theoretical part of the course is good, but the quizz questions were simplistic and very hastily prepared. I would recommend this course as an optional module and not as a graded course.
par Mohammad O•
28 nov. 2021
I like to continue, but i stopped learning because the robot instruction which is annoying presentation.
I'm looking other courses which has better presentation tools, like real instructors.
par Constantin S•
10 févr. 2016
It's a very basic introduction. Would be nice to have the option to skip it for more advanced students.
Also the recorded lectures are really quite, so you have to turn up the speaker a lot.
par Pratheek G•
16 nov. 2017
Good Introduction to the basic tool set, Can be bit more comprehensive by giving an overview of other tools available to do the same operations and also why this tool set has been chosen.
par Fraida L•
25 nov. 2016
There wasn't much to learn that I didn't already know. There was a lot of talk but no real practical application (I guess except for github for people that didn't know how to use that).
par Oleksandra M•
26 nov. 2017
This course coud have been provided as intro to R programming course or it could be just planned for 1 week. Anyway, overall it was ok though not yet extremely intense or informative.