There HAS to be mentors/instructors around to assist with syntax questions during this process.

I feel that the training could be more extensive prior to assignments. The assignments often cause me to randomly search packages for correct functions to use and how to apply proper syntax, etc.

The problem set is well-designed but the prompt and the wording could be misleading for non-native speakers.

If I didn't already have experience in R, and with tidyR in particular, I'm not sure this course would have been that helpful. As it was, it was a good review.

The final assignment is suddenly much more difficult than the rest of the course, otherwise a good course

Good intro and base for learning R programming. SWIRL tutorial nearly perfect for beginners like me. Quiz questions are fair but some questions are a bit vague and can have multiple interpretations as to what it is actually asking. Perhaps if the questions removed any ambiguity it would make it easier for newbies to work though the quiz questions without getting too frustrated to the point that they want to give up.

The swirl assignments follow a progressive structure and that's great, I was able to complete most of it even though I am totally new to programming. But the readings are not as easily comprehensible. There could be also more videos with examples. For instance, taking a look at the syllabus I don't think I'm completely able to import data from the web without a considerable amount of effort. And there was no swirl assignment on this specific subject. I've considered the course ok for a first approach to the R environment, but could improve a lot in the issues I've mentioned. Best regards, Henrique

The course readings and exercises did not line up well with each other, and neither lined up well with the final exam. I really wanted to know more about tidying data and merging datasets but I feel like I kind of only got through the final with trial and error, rather than true understanding. I explored the forums and saw other people being frustrated. One post says this is just how JHU courses are....so I think I will try some R courses next from a different source.

One must have some R knowledge prior to take this course. I would recommend to take the other R programming course from the Data Science track before.

You can learn most of it through the package swirl but the quiz at the end was a rewarding challenge that gave good practice. Would make it much better if it had video tutorials however

good course ,, but alot of readings :(

Wrong tutorial on swirl that obliges you to follow the course twice to get the code for the quix and to take the points to go on

The course difficulty abruptly increased in the last week.Especially with the last quiz. A swirl exercise before the quiz would have been helpful.

This is a refresher course for someone who already knows R. For anyone starting to learn R and Data Science, Data Science Specialization is a good curriculum to start with.

low production value at times, frustrating errors in the course data and instructions, but got me there in the end

There are a lot of typos, spelling errors, and oftentimes you need to do your fair share of StackExchange, forum, or book research to get an answer. I learned a lot, I just wish it was better organized. You'll learn more experimenting yourself than you will from the class.

While I learned much from this course, I would say that the readings contained enough type-o's and broken links that it became slightly annoying. Also, the final Quiz was much more difficult than the readings/practice that came before it.

The classes are not super clear, and there really isn't much support for learners facing bugs.

The free book R for Data Science by Garrett Grolemund andHadley Wickham is a much better structured introduction! see http://r4ds.had.co.nz/

just links to a webpage... no support from the mentors no support form coursera... you can use your money more wisely..

Felt lost during the final, the course was not well suited to the end quiz

There's not much substance. Also, considering there is not video the course seems very non-interactive. Its nice to see the instructors speak and work through examples. Hoping this course was just a quick primer for the R newbies.

Too basic.

This course has some useful information, but it is far from polished, and it is unclear who the class is truly designed for. The readings have a number of formatting issue and typos. I was disappointed that this class did not utilize lecture videos or practice exercises. There is not enough opportunity to reinforce the material through practice, which turns the assessments into abrupt roadblocks. If I wanted to spend most of my time just reading about R, I could have bought a book instead. Compared to other courses I have taken on Coursera, this class had fewer features, less content, and seemed much less thought out.

This was a terrible course. It starts off extremely basic in Week 1 which makes you feel like a rock star. Week 2 becomes extremely difficult then Week 3 easy again. Week 4 ends up being nearly impossible. I find that there is foundational material that the course does not cover. Nor does it provide guidance or familiarity with the material that it then tests you on. You end up having to do a lot of googling for functions to learn certain rules. It isn't designed well.