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.

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.

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.

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.

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.

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.

The word 'toolbox' made me think there was more in the course. 'Introduction' or maybe' Overview ' may have been more accurate. Good course otherwise.

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.

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.

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!

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

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.

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.

Less Content, should be more technical. Mostly repetitive from the the crash course in data science. Should have put an optional videos for git.

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

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.

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 :-)

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.

This course is very basic for a person with an IT background, but nevertheless might come in handy for people without relevant experience.

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.

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.

Gives a good overview of topics and the specialisation, however is still very basic. I'm looking forward to the next advanced courses

Good as just an introduction to data science. Some more exercises using Github, maybe some collaborative works would have been nice.

gives some good information but the git section isn't really well made and it could have some improvements on sound and quality

Very basic overview of the tools and installation of them. Should be an optional course rather than part of the specialization.