I believe that in some of the assingments the student is asked to do a few things that werent taught in the course. And also during one of the quizzes the platform wasn't working propperly, and I had to answere it many times.

I don't find the contents about R, git, and GitHub very helpful. They are way too brief and perhaps work better in those specific courses where we have a change to use them. Solely learning some commands is not very effective.

Learned a bit but overall it is literally not worth the price of admission. I think that this course could be offered for free and maybe the others are worth paying for. Hope that the rest of the specialization is worthwhile

Although the course is a good one to get you all set up for the upcoming courses from the Data Science specialization, the content of the course is very less to be considered as a separate course and charged money for.

Though the course itself is introductory in nature, i wish there was a lecture on what and how exactly are these going to be useful with the help of a real life example and also an increase in the depth of the content.

It is useful to get to know the software that staticians use and some review about them but it doesn't teach you how to use them. A good introductory course for the specialization track but useless as a unique course.

The overall outline are great. However, the contents and requirements of this course are too simple to be integrated as a whole course. I think 1 lecture should be enough. I am looking forward to deeper introduction.

This course should probably not be it's own course as it can be completed in one afternoon. It might be better suited as the first week of the R-Programming course (to make room maybe move the graphics talk to eda?)

The course was fine, but I think it should be offered for free even if someone is doing the data science specialisation track. It is really just teaching you what data science is, and how to install a few programs.

There has to be a more engaging way of introducing course material. For example, by showing someone actually using these commands in the videos vs. just putting the Git, R commands in a power point bullet format.

It's a good introductory course, but it's very basic and I feel that I paid a lot for a very basic experience. I do understand it is the first step in a full specialization but I think it can be more challenging.

It is a very basic course to give you high level of what the course is going to cover and the tools that will be used throughout the course. If you have much programming background this course will be a breeze.

Well presented, but this course should be optional in in the specialization. There isn't really enough material to justify it, but it does cover the basics for someone with little to no development experience.

With many thanks to the instructors, I expected to learn more. I did not learn as much as a 4-week course in Coursera. Please include more materials and avoid advertising for other topics in the future courses!

The Course is very well designed and anyone who pursues it gets very well acquainted with the applications and tools . But i would like to suggest that this course can be completed in 7 days instead of a month

The length of the course, in my opinion, is a little bit too long. Actually it took me only 3 days to complete this course and I am not really a brilliant one. So I think maybe may will have the same opinion.

Not a bad intro; I don't know if anyone would benefit taking this as a standalone (or for an entire 4 weeks, for that matter). Still, it introduced some solid concepts for professionals and scholars, alike.

Though the content of the course is nice, i wasn't completely comprehend everything. I was expecting to see a lot of explaining using the live screen mode, i.e., explanation while operating on the desktop.

This is a really basic course. If you have never touch code before, it's more useful, but little is actually covered here and the gap between it's contents and the next class, R programming is dramatic.

Super basic, each week was only about 30 minutes of video lecture... but I think that was their goal? Bad form on coursera for making you pay to submit assignments that are autograded to begin with.

This is a required course in the Data Science specialization. If you're planning to take that specialization, you should start with this course. If not, you shouldn't bother - there's not much here.

As a software engineer I found this course a bit useless, but I do understand other people don't have the same background. Having said that, I believe it should be optional in the specialization.

It's a great course. But the peer-graded setting of projects really delays the grant of certificate. It took me more than two sessions of waiting just to get a grade for the peer-review project.

Very basic, can be done in one day! However, we always need something simple to begin learning something new. Also, it was useful to have some guidance in the installation of the various tools.

The course is basic, and quite simple. Some might say too simple. I think it should be about 1 week long. I already knew all the things going into it so it was easy to finish it over two days.