Explanation could be more elaborated like the earlier courses

Not well explained.... Previous module was better structured.

Useful.

Too much talking. Not enough integrated exercises.

Mostly just R programming with data science in passing.

Very usefull but can be technical and discouraging

needs little more real time scenario examples..

Course is too simple, should be more extensive.

peer review assignment is not getting reviewed

practices is much needed to complete projects.

Amazing, Kindly update the versions always.

I THINK THE COURSE NEED TO BE UBDATED

It needs an update on some libraries.

Useful, but a little boring.

its so hard for beginner to

Interesting but too simple.

Sometimes is hard to follow

The assignment was tough.

A little hard to follow

Too much repetittion.

Too tough

Professors did not do a lot beyond rehearsing what the commands did. More important, there were a lot of small things that would stop progress on the course unless you went deep into the forums - for instance, one of the files in the final project was illegible unless you used the right text editor. Final project was poorly designed in that the data were untidy but intended to stay that way (See "Should I decompose the variable names?" in Thoughtful Bloke's post at https://thoughtfulbloke.wordpress.com/2015/09/09/getting-and-cleaning-the-assignment/ - he is right about jerk and mag but wrong about time/freq, gravity/body, acc/gyro, and x/y/z, which are mutually exclusive members of the same set and thus values that appear in column names). I appreciate that this course, unlike other online courses, actually makes you think, but students should only have to think about topics germane to the course. Overall much more frustrating and time-consuming than it should have been.

This course is by far the least polished and engaging course I've taken on Data Science in Coursera. It just feels like it's 'phoned in'. Like the lecturer isn't really bothered with making it interesting, and just wants to reel off all this stuff as quickly as possible.

Then there are things that are just sloppy - like the section on Regular Expressions - they cover them, but then don't demonstrate their usage in R even once. Like - what function(s) can I use this stuff in? Then, at the end of Regular Expressions, he talks about turning off the 'greediness' of the * operator, but then doesn't even bother to show what that means via an example. It's like he just couldn't wait to finish the video.

I'm doing this course as part of the 10-course specialisation, but if the next courses are this flat and boring I'll probably pull out.

This course is where the material starts to get difficult, and the learning materials fail to provide the structure needed. There absolutely HAS to be a better teaching method than "reading the slides of bullet-ed text that I'm also showing". No functional examples are provided in the lectures and the real learning content is linked out to web resources. You will have to Google your way through this class because the provided instruction will not contain answers to the quiz or exam questions. A real disappointment.

I also think that Coursera knows this, because this was the first course where they ramped up the e-mail encouragement campaign. Their data must tell them this is where people fall off the specialization. Rather than addressing with marketing and messaging, they should encourage the instructors to improve the course.

There is a lot of room for improvement. In an ironic twist, since the course is about "cleaning data," we are left to our own devices figuring out a lot of this very outdated material, broken links, codes that don't work, etc, so we have to google and search StackOverflow and forums to fill in the gaps and create a better course. I was subsequently asked to be a Mentor in the course, but I would rather the author of the course revise it, instead of having us work for free trying to help people get through outdated material. All the help is in the discussion forums already anyway, so I'm not sure why they need more Mentors. The saving grace of this course is that you will learn, if you are desperate to learn, and it is part of a greater Specialization that is worth your time.

I believe this course suffers from neglect. Rarely did I see any of the mentors participating in the group discussions even though there were plenty of questions. Furthermore, some of the quiz questons seemed incomplete or confusing. The project was no better. I feel like the course was recorded a few years ago, and not much done after that to fix flaws, even though they are probably well known. The material is useful, but it would be nice to have a set of notes or a text to go with the lectures. You will spend a lot of time searching the internet to compelte the assignments. Sometimes that is good, but other times a guide geared to the course would have been better.