Sep 08, 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 24, 2018
This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.
by Marcelo X d N•
Dec 25, 2017
Eu achei o site desorganizado, não sei se concluí ou não o curso. Não sei se executei todas as tarefas ou não. Decepcionante
by Jonas L•
Mar 20, 2016
Certainly not worth paying for this course, only talks about how to install the tools.
Not able to take quizzes when you try to take the course for free.
by Aayush L•
Sep 20, 2016
Is this a real course for a data scientist just installing shit and a peer reviewing for that screenshot and forking all repos ...very bad not worth to be with rest course in specialization
by Chris M•
Feb 13, 2016
Not really enough content to be a course in it's own right, should be additional material as is useful, but definitely not a requirement.
by Julio C C G V•
May 22, 2016
The course is not updated.
Apr 20, 2017
by Attila T•
Jan 24, 2016
It is really basic course, I expected much more even if this is offered only for $29.. (the cheapest course in the specialisation)
by Pablo A•
Feb 15, 2016
Too basic content.
I have not learned anything with this course (installing R and RStudio should not be part of exercises or lectures).
I hope R programming course will be better
by Rajat J•
Mar 14, 2016
Good introductory course. However, an overkill as a separate course (and hence charging $30 for it). Courses 1 and 2 could have been clubbed together.
by Debajyoti N•
Aug 13, 2016
This should not be a course. It's just introduction and should be condensed to one video and a handout with pointers to those who need more specific and detailed instructions for setting up their computers. This is not a learning course. All they teach you how to install git, R and Rstudio. And they take money for this (if you want to say you "completed" the course)!!! Highly unethical practice in my opinion.
The surveys are stupid too. They don't distinguish between those who completed (but not earned any credentials) and those who didn't.
In my opinion this is a very dumbed down version of an introduction to a data science course (and not a cours in itself). Definitely not worth 4 weeks!
A much more valuable course is Stanford's "Machine Learning" where you can actually learn something (and don't force you out of evaluation if you don't pay).
by Antonio S•
May 06, 2016
Too expensive for what you get :(
by Eric L•
Oct 07, 2016
this course is very poorly structured.
by Ryan P T•
Aug 21, 2016
$40 is way too much to spend just to learn how to install a couple pieces of software and sign up for a GitHub account. The entire course should have been the first week of the following course.
by Neil S•
Jan 08, 2017
Very basic and boring
by Joonas S•
Nov 14, 2016
Too compact and short. Should be integrated to other courses.
by jonathan s•
Mar 16, 2018
Seemed pretty useless to me
by Michael Y•
Apr 16, 2018
Git should be introduced more slowly, over multiple courses. I cannot possibly absorb all the command line instructions that were mentioned in the class. There are just too many.
Please PLEASE *PLEASE* spread out the course content on Git over 3 or 4 courses, so we can practice it as we submit assignments. I forsee numerous wasted hours fiddling with Git Bash trying to make it work, not knowing what mistake I'm making.
by Jorge G B T•
Jul 10, 2016
Complete waste of time. This should be a course on its own, and much less be charged for. This should have been the 1st week of an actual class. This only dealt with installing a couple of software tools. Hopefully the following courses will teach something worthwhile.
by Andre P•
May 03, 2016
most part of this course is a duplicate of the "R programming" course.
microphone/sound of the teacher quality is very bad.
not original, boring, dividing this in "4 weeks" is too ridiculously long, this should be done in 1 week to enable users to take more time for the "R programming".
this course should be free. don't lose too much time on it, it's doable in a day or a weekend and move on to "R programming".
asking for so much money to see how to install R and github is a shame.
feels like this course has been added just to have a round number for the specialization.
even the survey in the end asking for feedback starts with a question not adapted to moment it's been asked "did you get a certificate?" of course i did not as i've just finish the course and now wait for my peers to review my final submission.
by Gianluca M•
Jun 09, 2016
Useless. The information content is close to zero. Just some blah-blah and a long tutorial to install software.
by joan B•
Feb 16, 2016
Although the content is correct, quality models videos and materials is very low, wanted to make all the specialization, but I'm not satisfied with the quality of the course. It's a shame, because the JHU is an excellent University
by Corey H•
Jun 26, 2016
In my opinion, most of this information should be free and available as a pre-req. for other classes (installing R Studio).
It was cheap, but in general, I thought I was going to be more out of this course than I did.
by Deleted A•
Sep 06, 2016
by Zachary C•
Oct 25, 2016
I was expecting 4 weeks of work, but it was more like 4 hours.
by Ian H•
Apr 12, 2018
Terribly run waste of money! Better off going to Data Camp!