Sep 7, 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.
Apr 14, 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.
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Materials are getting out of date, especially with some of Github's new features.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.
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 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...
By Anit B•
Jun 27, 2016
Introductory Course mostly around installation and setup for the other courses in Specializations