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 Dimosthenis S•
May 13, 2016
This course was a loss of time and money. Except from week 3 material, the rest can be found on the internet and should be required by everyone who wants to take that specialization. This course doesn't worth it, it's just to take extra money from anyone who wants to learn about Data Science.
by Amlan D•
May 22, 2016
This should not be a course in itself
by Gary N A•
May 09, 2017
Poorly organized. Poorly communicated. No reliable source of assistance with technical problems.
by Parth G•
Jan 11, 2016
It's a course which is designed to preview the other courses. It could easily be eliminated
Feb 09, 2016
by Seong B P•
Jul 14, 2017
nothing special here... the real stuff begins next course...
by Francisco S•
Mar 28, 2016
Not worth the price. Extremely basic stuff spread very thin over too much time just to be able to charge for it.
by Abdelrahman A•
May 16, 2017
Very bad course so far. Very little detail and Assignments are very hard to solve. Worst $500 dollars spent in my life, and the course isn't worth even $10!
I'm an online instructor myself and the quality of the course isn't worth its price!
by Justine H•
Apr 05, 2016
Not useful at all if it's audited.
May 17, 2016
By far to expansive for what you get. Anyway, thanks for the hint about swirl.
May 12, 2016
Quizzes were based off of extremely high level overview videos not covering anything specifically or deep diving into anything. When applying the git commands covered, numerous errors arose. Overwhelmingly academic course with very little hands on. This is not for anyone actually looking to work in this field, but for someone looking to be able to talk about this field.
by Andrew C•
Sep 21, 2016
$38 is a lot to pay for tutorials about how to install software. This course takes only 20 minutes to complete. It is also obsessed with command line interfaces. There's a reason that they were left behind in the 80s. It does cover GUI software like Rstudio, which is ignored for the rest of the course. How about something on the desktop Github version? https://desktop.github.com/ So much easier to use.
by Emmett M•
Jun 25, 2016
They charge you to take a class that explains how to install a few programs. If you go to the program's websites, there is directions to install it anyway, so this was completely unnecessary. Waste of money. This class should give you some early training on R before throwing it at you in the next course without enough training.
Oct 17, 2016
by Pietro B•
Jan 26, 2017
I have no idea why you called it course, since there was nothing inside.
by Anirban C•
Jun 03, 2017
Worthless course. There should have been no need for this course and the fact that they charge money for this is disappointing. This module could have been easily merged with the next module (R- Programming). Just a few pages with instructions on how to install the required softwares and repositories would have sufficed.
by SHENGNAN Y•
Nov 13, 2017
I missed the entire course deadline just because I stuck in one of week 4 projects - pushing a file into GitHub. When I went to the forum, there are so many people in the same situation. The main reason is that the week 4 video did not cover the project content well. Overall, compared to other programming courses I took on Coursera, this course is not well organized at all! Instructors basically just read words in slides, no interesting examples and no hands-on practices, especially week 4 slides that look like a syntax reference document. So the entire instruction is very boring, making me wonder why I need to sit here and listen to word reading rather than buying a textbook. Also, people coming here to learn it are new learners. When the instruction skipped much and made the content not logical and complete, it is very difficult for us to understand what the video is talking about. That's why in forum there are so many people expressing their confusions. This entire specialization is the one that I've taken and feel the worst (I got lost in the R course too). I strongly recommend the instructors of this course watch and learn how the instructor of the specialization "Python for Everyone" organizes and teaches the content. He makes programming become very interesting and easy to understand. He also provides many hand-on practices to help learners understand abstract concepts. Unfortunately this specialization instruction is just about reading words in the boring slides.....
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
Jun 07, 2016
waste of time. except for git and github ,nothing much is in it.
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 Louise S•
Mar 01, 2017
A simple list of programs that needed to be installed would cover 90% of the course content. Some of this content is also repeated in other courses in the sequence. If you have any technical skills this entire course is extremely tedious.
by Andrey A•
Mar 10, 2016
This course must be a part of another courseres.
by Julio C C G V•
May 22, 2016
The course is not updated.