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 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 Sam K•
Jan 22, 2019
Nice to have a place to get all the tools setup but it's also harder to feel like it's worthwhile when there are no applications for any of the things we installed.
by José A d C F•
Sep 22, 2019
I think final assignment can be improved. For example, the assignment implies that you know how to generate a codebook.md and the video classes doesn't teach that.
by Juan I Z M•
Dec 06, 2017
For people that are new to Data Science this is a good intro, for people that might have some experience with R, statistics and ML in general this is way to basic.
by Christian S•
May 07, 2016
I think this course could be integrated into the other ones of the specialization, or, if it is meant to be just a course to get an overview, be free of charge.
by Biplab G•
Jun 03, 2017
Helps to get the initial environment setup for the Data Science specialization.
Certificate received after completing the course is not effective/useful at all.
by Islam D ( B A•
Feb 22, 2017
it could have been better if it was more hands-on learning, for instance I don't understand why did we learn CLI till now and how will I link it to my studies
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.