(243 Reviews)
(1056 Reviews)
AK
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It's a very introductory course and in a sense I don't feel like I learnt something useful, except the part that shows how to install all the tools that are needed for the rest of the Specialization.
CC
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A good basic class and collection of the tools. I wish there had been a little more explanation of what we would use the software for, but I found the lecture parts to be both concise and informative.
By Karan B
•Oct 9, 2017
Very average do not feel I learnt much. Still not sure if it's over or not since i've submitted a peer review assignment and cannot go any further.
By DIWAAN C C S
•Nov 10, 2020
Content is good but the thing to tell is that robots can't express actions, only humans can. So please change these videos as human lectures.
By OMEED R
•Dec 30, 2016
I mean, it's replicated in the next classes, and it has silly questions in the practice quizzes. It's not worth it. Just kill this.
By Augusto U
•Feb 18, 2016
Very basic introduction to Data Science. Seasoned programmer or other IT professionals are likely to find this course really weak.
By Luis C
•Mar 24, 2019
it is a good course but need to show more examples of R. the course should show more empirice examples of the functions of R.
By Harshini S
•Nov 22, 2016
A good intro to the tools required for a Data Scientist. However, could cover the usage of the terminal and Rstudio better.
By Yuan L
•Nov 12, 2017
Not that useful. There is no need for videos. The content can simply be presented in one single PDF in a time-saving way.
By Dimitry W
•Dec 5, 2017
Somewhat interesting to get an idea of what can be done with Git / Github, but I don't feel prepared to actually use it.
By Anna K
•Jul 13, 2017
Materials are getting out of date, especially with some of Github's new features. Instruction not clear in some lessons.
By Illan W
•Jun 5, 2019
Lectures are ridiculously boring, especially without having any video cam component to bring stimulation to the class.
By Ashwin P
•Jul 1, 2017
I do not think it is worth the money as the content is really basic and installation of software can be learnt online.
By Lang Y
•Oct 24, 2017
Too little content. Can finish the entire course in a few hours. Could be compressed into the first week of a course
By Adam D
•Jun 12, 2017
If you can install R & RStudio and sign up for Github, then you're 80% finished with this course before you start.
By Alex L
•Mar 1, 2021
Link does not blue-highlight in the last question and confuses the graders to think that the link does not work.
By WAN
•Nov 23, 2020
I don't like the new way of presenting online course. The voice is very artificial which makes me less engaged.
By Andrew T
•Jan 3, 2018
Basic setup of R and Git.
Prefer Treehouse's integrated workshop structure for tasks like these and/or youtube.
By Matthew W
•Apr 1, 2016
Extremely remedial. Not worth the time or cost on it's own, unfortunately it's required for the specialization.
By Owen I
•Nov 15, 2016
Is this entire course going to be watching videos of powerpoint slideshows, wrapped in a rather buggy website?
By SAI V K
•Jun 2, 2016
they made this many courses as they can earn more money.I dont think this course should me taught seperately
By Andrew W
•Apr 20, 2017
Very, very, very basic intro. The entire 4 weeks could have (and should have) been condensed into 1 week.
By Paolo D
•Nov 7, 2016
I didnt learn anything about data science. I could have learned how to install all those tools by myself
By Andy I
•Sep 17, 2016
There just wasn't much to this class. It's not bad information, but it could have been done in one week.
By Agustin G
•Jun 20, 2016
It's an extremely basic introduction... which doesn't help in much for the next session (R Programming)
By Eva-Maria B
•Jan 28, 2018
OK course. A brief overview, but the sequence of material isn't that well thought out in my opinion.
By Christopher W P
•Feb 9, 2018
VERY basic course, some of the week's assignments were simply installing software for future use...