I really do not like the R language, I think it is sloppy and inconsistent. This class did ok teaching the basics of R, but it did not do anything toward teaching testing of R code (a key part of writing code!), best practices for modularization and factoring, and so on. In other words, it teaches you how to write R code that kind of works, but does not teach you how to write good code in R.

This was a very difficult course for me. Since the instructions for the programming assignments were very hard to understand. I referred to many sample codes in stackoverflow, and GitHub, and initially I was confused, but after many attempts to model my code from the samples I saw, it made a little more sense for me. I guess I really need more practice on the syntax, and commands of R. :)

Lots of places where the lecture drones on with lists of functions in R with no context, and only occasional examples. Hard to follow, really, and I find myself tuning out. So, arriving at the first quiz I realize I have no clue how to do half the stuff, and go back over the videos only to be struck by exactly the same droning, listing of functions without context that have no saliency.

Learning R is very interesting and applicable. It is something I plan to continue, but not in the specialization offered here. The main reason being that the difficulty of the assignments seemed far beyond the material presented in the lectures. It could be that relevant examples on using applicable functions to aid in completing assignments were not presented in the lectures.

The course teaches you very valuable basic R programming skills. It is definitely good for the beginner. Unfortunately the lectures and course materials do not adequately prepare you for the programming assignments which is frustrating and time consuming if you actually want to write the code required and not cheat.

The structure and functionality of Coursera itself is excellent.

I felt as though there was a large disconnect between the material presented and the programming assignments. It took much longer than expected to complete the assignments and required further research on my behalf. This course is a good starting point to build a foundation in R, though I will most likely be expanding that with other online learning courses to feel comfortable.

This course has huge difference between what is taught in it (theory+practice in swirl) and than required in programming assignement!

no expanations almost of anyting what is required to write required code!!!

I strongly recommend to update this course structure - to explain step by step how to write program code, and give assignments which will be the same what is taught!

Even after doing the swirl exercises, I felt as if some of the lecture material didn't have great enough context for me to completely grasp some of the concepts. It just felt like some of the material was all over the place at times and when it came down to doing some of the quizzes, I spent more time hunting down information that I did actually learning the material.

course videos and coding assignment are disconnected.

if someone like me have no prior coding experience than better avoid taking the course. first learn R then enroll.

many concepts are skipped in R.

hope this course is upgraded as standalone course for R from beginner to expert. I am thinking to return to the course once I fig out R from internet than continue

I've found course extreamly usefull. But I have strong software background and easy get difucult topics. For the beginner it would be challenging. Also there is a lack of info about statistics used in lectures, quizes and assignments. A lot of staff was done without understanding. Also there are significant amount of mistakes in subtitles for lectures.

By the end of the course I felt I had learned a lot, but it was mostly from researching material online and in other books, as the material covered in the the lectures was very basic.

The assignments were interesting and challenging and the mentors and experienced people putting comments and support material on the discussion forum were very helpful.

Feels like there is an extreme disconnect from the tutorials/lectures and the programming assignments. The programming assignments, were at times, rather difficult and had little to do with the lectures from that week. Overall I feel like I have a decent base in R, however I still feel like a lot of concepts were lost/not explained thoroughly enough.

This course will dive you into the deep understanding of R from the very basic level. However if you do not have any prior programming experience, then think twice before enrolling in this course becacuse the programming assignments are too much difficult for the beginners. Overall the course is very interesting except the programming assignments.

I think there is an enormous gap between the lectures and the assignments. I would never be able to do the assignments without help. I think the course content is excellent, I learn a lot, but I miss assignments at a level that the students can apply what they have really learned. A step further than swirl, and behind the current Assignments

Decent introduction, but the projects are not explained well and you will be forced to Google and look at previous students' work for ideas if you have no background in Data Science. The lectures were also recorded somewhat poorly with not as much editing as they should have. At the same time, I did learn a lot and am excited to keep going.

The content is good as far as an introduction goes but I'm not sure that I actually learned what I signed up to learn. I completed all the readings and viewed all the lectures ( a few multiple times) but still had difficulty completing the assignments. I felt unprepared for each of them despite their not having a high level of difficulty.

Huge leaps from course content in lectures and reading materials compared to what's expected on assignments. Such leaps may not be significant to experienced programmers, but could be discouraging to complete beginners. I had considerable help for a lot of the required content/material, which were not always covered in the course.

I was underwhelmed. Especially when compared to other JHU Coursera courses. There was poor alignment between the course lectures and the demands of quizzes and assignments. I think I learned more about actual R programming from my Google Searches. With that being said, I know much more about R programming after taking the course.

I have some programming experience, but I often could not understand the questions being asked in the programming assignments. Not because of my skill level, but the lack of clarity in the directions. I felt that I learned a lot while taking this course because it held me accountable, but the course design could be much smoother.

The instructor gave us homework on materials that were not taught in the lectures. This was a little unfair. It may be the way to teach for in-person learning but it is frustrating for an online course. Others have commented on the rapid pace. I would not mind the rapid pace if the materials presented were also the ones tested.

I wish there were more function examples that go step by step in explaining how to construct them from a simple function to a complex one. I felt that was lacking, which having a refresher guide in what we learned so far while constructing our functions could have gone a long ways in doing that, even with the swirl application.

Good course, and I learned a lot. However, the programming assignments are too advanced for people with only beginner level experience with R or programming. It took a lot of extra individual and extracurricular effort to complete those assignments as a beginner - I think this should be made more clear to prospective students.

Thought this course could've been much more effective. The content felt very random and esoteric at times. Especially the programming assignment on cached results. I get it. I'm a programmer at heart. But this is at the margin of usefulness. How about a segment on running regressions? Or doing some real data analysis?

I like the whole experience, but there are some gaps between sessions and weekly projects. I think this course can be improved with adding small tests between each session and providing several exercises as complimentary material. For understanding many topics I watch many other videos on youtube till I grasp the concept.

I feel the course is distributed unevenly. Some concepts are just randomly explained, giving a slight insight (not really helpful). I know it's a vast subject, if it can't be covered in a single month's course, then it doesn't have to. I feel the course is crammed up into a month's schedule. The subject needs more time.