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.
Jul 22, 2017
Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.
by Junjie B
•Jan 06, 2016
From the basic layout of the course you would assume it's for beginners since it covers step-by-step instructions to install software and run command on command line window.
But on the other hand, many advanced concepts are slipped in this course without even basic introduction. I remember in one class, "data dredging" is discussed for about 2-3 minutes. But the instructor did not give a brief description about what it is, instead it just goes on about when you do not have clear question in your mind, you would run the risk of data dredging.
I think the course could be organized in a better way. But I do appreciate the instructors' hard work of putting up such a 10-course specialization.
by Rishi R
•Mar 04, 2017
Too basic, not very informative. Waste of money.
by Noah M
•Feb 11, 2016
Insufficient available project available for review and thus unable to pass course due to technicality. This is a major problem. The course should still be passable even in the absence of sufficient other projects to review, which is a problem that no student has any control over.
by Mohammed K
•Mar 19, 2016
It is not worth 30$
by Julian C
•Jan 23, 2016
You don't really learn all that much, but then again I have experience with R and some data stuff already, so perhaps it'd be more useful for someone else.
by Chrissie J
•Feb 01, 2016
I enjoyed the start up course and look forward to more, but am battling to figure out how to sign-up for the next step all roads seem to force me back to the Toolkit.
by Fraida L
•Nov 25, 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).
by Hamza T
•Aug 09, 2016
A great course. But I still think there is a lot of room for improvement.
by Xiaojun L
•Mar 31, 2017
The git and GitHub section is not very clear....
by Arthur S
•Jan 29, 2017
Couldn't hear the videos
by Alberto G M
•Feb 09, 2016
The real basics of data analysis. The course is not bad I would just say it may be too simple even for an introductory course
by Joshua K
•Jul 05, 2017
Pretty Basic, but helps get you in the swing of things.
by Rakesh
•Apr 10, 2016
Too simple. Personally feel this can be clubbed with R Programming
by Sandesh K
•Jan 25, 2016
Not much helpful course
by عبدالحميد ع ع
•Nov 29, 2017
all the content of the course could be a week of some course of specialiazation
by Shahrooz
•Jul 22, 2016
Overall the course content is good, but the power points are not engaging and interactive.
by James M
•Feb 24, 2016
Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.
by Pedro V Q d C
•Sep 27, 2016
I think the course was too superficial and didn't cover enough topics to be a standalone course. It could be part of a greater course. My feeling is that this wasn't worth $30 dollars, and that such a small course was put together just to charge for one more module.
by Anagha J
•Feb 07, 2016
Good and basic understanding of terms.
Can be made vast.
by Victoria M
•Mar 14, 2016
Doesn't provide a strong enough base for R Programming.
by Deepankar G
•Jun 02, 2016
Course doesn't seem to be of much use. Was not much informative. Only some information is relevant.
by 汪豪
•Mar 07, 2016
i feel i just learn the superficial knowlege
by Lucio C
•Aug 09, 2016
Good overview. But it is confusing for the first class when you have no idea about the topic.
by Harsh V S
•Mar 27, 2017
too basic
by Daniel R
•Feb 07, 2016
It is a good course, however, I would have liked deeper knowledge in git