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 Madalyn Z•
May 04, 2016
Might be a good introduction for those completely new to computational tools, but not useful for those with any background in git or R. Can be safely skipped.
by Quentin D•
Feb 17, 2016
Good course about getting the basics for the Data Science specialization, but a bit overpriced, as the content is low, and can easily be done in 4-5 hours.
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 Farshad A•
Nov 12, 2016
It was a great start to data science but also students should have it in mind that the material presented in the course won't be enough to get through it.
by Stefan H•
Mar 07, 2019
I understand the text to voice automation was done due to cost reasons, but listening to the automated voice is VERY exhausting! Otherwise great content.
by marcelo G•
Aug 15, 2016
A very basic overview on Data Science. You learn how to use git, rstudio, and other tools though. The other courses of the specialization are way better.
by Ayush J•
Feb 10, 2016
This course should be a free trial for whole specialisation. IT will be more helpful for students to know what is further stored in the specialisation.
by Woszczyk H•
Jun 20, 2019
If you already know your way around git and basic programming this is not a very interesting course.
I feel it should be included in the specialization.
by Peggy C•
Mar 13, 2017
The word 'toolbox' made me think there was more in the course. 'Introduction' or maybe' Overview ' may have been more accurate. Good course otherwise.
by beth l•
Jun 08, 2016
I was hoping to learn more stuff I didn't already know. This class is more of just a vague overview of the other courses. Can be completed in 1 week.
by Jarod T•
Nov 25, 2017
Its was pretty good. I'm not really sure how important it is to learn Git so soon but it must be used in the next classes so I am excited to find out.
by Demetrius Z•
Apr 15, 2016
A good introduction to the course. Opening up quizzes to help feedback what we'd learned (for free learners) would have made the course much better!
Aug 28, 2018
Everything is fine
I think they had better not include the GitHub thing in it without clear explanation.
It takes me too much time on that assignment
by Andy C•
Nov 20, 2016
Not much of a course, I understand why it exists, but it's basically just getting setup with the environment. Almost not worthy of course status.
Mar 28, 2016
it gives you the necessary tools and knowledge for just beginning the data mining course. so you cannot expect to learn about the process itself.
by Sahitesh R•
Apr 17, 2018
Less Content, should be more technical. Mostly repetitive from the the crash course in data science. Should have put an optional videos for git.
by Deleted A•
Dec 12, 2017
Too much material. Too soon. I am new to R and the stuff was a bit overwhelming. The course got easier as I advanced through the other courses
by Bonnie M•
Jan 28, 2016
The content is very basic. The whole course took my around 6 hours to finish. I think the instructor should add more solid training on GitHub.
by Martin H•
Aug 08, 2016
A bit odd this one. It hase some points, but most of the training is looking on what the other courses are.. Like paying for commercial :-)
Sep 21, 2017
The course was just fine, but I don't think we should spent entire 4 weeks on it. One or two week for this course would be better I think.
by Andrew V•
Feb 22, 2016
This course is very basic for a person with an IT background, but nevertheless might come in handy for people without relevant experience.
by Aishwarya K•
Jan 25, 2017
There is a slight lack of clarity in videos in terms of audio and also in terms of what exactly the author/lecturer is trying to convey.
by Marshall B•
Sep 07, 2017
It's a very basic course and easy to get through. I wish that they wouldn't make you wait to get to the next section of this series.
by Oliver K•
Oct 20, 2016
Gives a good overview of topics and the specialisation, however is still very basic. I'm looking forward to the next advanced courses
by Alejandro S J•
May 17, 2016
Good as just an introduction to data science. Some more exercises using Github, maybe some collaborative works would have been nice.