It's a beginning to a host of different courses that are to be followed after this. It makes up a for a good platform to start off the work on R and how to use version control feature of R via GitHub.

It would be better if we can attempt the assignments even if we are not enrolled to the course. It would really help us to evaluate ourselves about the extent to which we have understood the concepts.

A good basic class and collection of the tools. I wish there had been a little more explanation of what we would use the software for, but I found the lecture parts to be both concise and informative.

Very clear and concise and is very easy to follow for those who aren't very experienced with setting up a dev environment or git. A little on the easy side but I'm sure more challenges are to follow!

Consistent yet very basic course. I would only recommend this course if you are willing to complete the whole Data Science specialization or if you have troubles with the basic functioning of GitHub.

It's a very introductory course and in a sense I don't feel like I learnt something useful, except the part that shows how to install all the tools that are needed for the rest of the Specialization.

This course is very educative and easy to follow by anyone regardless of their previous knowledge in Data Science. I recommend this course to anyone who want to learn r programming and data science.

It is possible to learn how to set-up your computer to use R and Rstudio. It gives an overview about Git and Github. The only deficiency ,in my opinion, is the lack of linux explanation in set-ups.

Generally, it is a great class. However, a part is missing in the R Markdown section. You cannot convert RMD to pdf without installing tingtex package. This content should be included in the video.

It would be helpful for absolute beginners who even have difficulty in installing programs like R and GitHub but otherwise it felt a bit too basic although informative with some of the Git commands

Most of the instructions were very clear. Image quality for pushing files to Github via command lines was poor, so it was difficult to follow along. Not sure why there were 2 Git bash counsels open

it's well done, i was expecting more details in the lessons while students it's requested to search many things on internet in order to learn, for instance GitBash. However it's a good first course

Having to skip through all the Mac videos is annoying. Just make an option at the beginning if you're working on mac or pc or both so i don't have to deal with skipping some videos and not others.

This course seemed a little to basic. I know it gets much harder going forward (as I've already started on the next course), but I feel like more knowledge could have been packed into this course.

Some of the course material seems a little out of order, and some things I went externally to figure out, but overall I think that it is a great class for someone looking to get into data science.

Great course to know these tools. Need more explanation with the videos and more interactive assignments to understand better. Also, language change is one thing that needs to acquire eventually.

Additional exercises on setup and use of git would have been helpful, particularly with the local and remote synchronization. You may want to phone-a-friend on git if you need to use it daily...

Well basically tutors only providing slides, speech, forums and ebook in this course...rest is self-learning, self-understanding, self-asking... if not, then you'll not pass this course i think..

The course covered the foundations well especially how and what softwares to install etc. I would have given five stars if the course contains covered some extra details about R and datascience.

Fine, but (as the authors admit up front) there is room for improvement in the canned text-to-speech. Does feel kind of impersonal. But I am going to continue with this course of study anyway.

Good starting point for beginners to learn about R. Basic experience with git is a must although it is possible for complete beginners. Will just take more time to do the homework and quizzes.

Nice course as a start... I just felt I need more knowledge in the area of github (the idea of pushing, pulling and forking). But maybe it will be more clear by time as this was just an intro.

I think it will be better if we have not a computer programmed lecturer to give the material because I find it hard to understand what she says and I will prefer more on actual human lecturer

I took the same course 6 years ago and it was a little more challenging. It actually had coding assignments. and not only in R, but in Python and SQL too. That was a more complex "toolbox"...

The course was excellent however the robotic sound of the AI was a challenge. Once I overcame my inhibition to learn from an AI system, I started to like the course and learnt a lot from it.