I wish the assignments could be a mix of teacher and peer graded.

need more information about how to complete de week one

It is good way to get to improve your R knowledge.

Need to have more visual approach to the course.

The swirl course is very helpful.

Good course

Nice!

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The forum for the final week has everyone asking each other to review their assignment because it doesn't get done. There might be something broken with the system here.

With regards to content, it would probably be better to just read Hadley Wickham's "Advanced R", and "R Packages", and "ggplot2" for this whole specialisation. In fact, I wouldn't be surprised if the material for the specialisation was just taken from these 3 and "R for Data Science", and then compressed to make it easier to digest in 4 week chunks.

It was ok, so I'll give it 3*. But there could've been more material here. It didn't feel "Advanced" to me.

Instructions/learning material is informative, however, you should be prepared to put your google skills to work in order to complete some assignments. Overall I'm satisfied but I would appreciate a bit more attention to detail in the learning materials there are many typos and general grammar issues that break the concentration and some times require the reader to stop and guess what is being said from context.

I also believe the 4th week is lacking sufficient content for the learner to complete the assignment. There was a large amount of research required outside of the course materials in order to complete week 4.

Like the first module in the specialty, this one is riddled with typos. Some of the examples could have been a little more detailed or just more examples given. Again, some of the swirl assignments were just walking through the readings. The topics covered here are more advanced, but I feel like I just read an online tutorial and didn't really take a "class".

The quality and the difficulty of this course is really good. It would even be better if more advanced topics are covered in details (e.g. AST, substitute function). However, the peer review assignment could be a pain since sometimes you do not get helpful feedback. Occasionally there are not even enough students to grade your assignment.

This course was not great. Almost all of the information is a screen scrape from a book and peer-evaluation, so you may be better off just getting the book and going through it. The mentors very occasionally participated, the authors never. The assignments are poorly written and missing too much detail.

This course has a very clear goal. However, the implementation of this goal needs significant improvement. The first three modules were very easy to master. However, the last module was disproportionately difficult, making it unreasonable for learners.

WIsh there were more assignments. The final project was the only assignment in the course. Object-oriented programming in R requires more than a single assignment to grasp- even at a superficial level.

I was relatively disappointed with the course. Course material lacked dept and the final project was too complex relatively to the course material and examples shown.

To complete this course you have to go back and forth for the basic. Also the final assignment is bit ambiguous, more clarity is required.

It is a very good course but many a times the concepts which are used in assignments are not even taught properly in the course.

In comparison with the first course, it was not so useful. The main reason in my mind is that there was no video.

The style of these courses is not engaging. This is self study, similar to getting a book and reading.

Coverage of R Classes is good and helpful, but on the whole this class is a huge disappointment.

The ENTIRE course is text, apparently adapted from the creators' book. They also have the audacity to suggest you buy the book as well! Save yourself the trouble and just buy the book, or don't bother with either.

They also very much push the "tidyverse" school of R programming... it's useful to know and have in your toolkit, but there are many other approaches to R programming.

Also, support was very bad... Left a question on the forum about their code which didn't execute as expected. It has been two weeks since I left the question, and have since completed the course, but still no response.

Finally, there is no mention at all of vectorizing code, which is what R is optimized for. As one of the most basic tenets of R, it is surprising that an "advanced" course makes no mention of it at all.

Lacking in content. The OOP portion of the final project was poorly constructed. The instructions were unclear and the exercise seemed futile. We took a data set and further complicated it by abstracting into various object classes. I think a better example could be used. Since there are already plenty of ways to do the things our objects were tasked with it seemed like a futile exercise. I think a different type of real world object should be used, perhaps one that is not easily stored in a data frame.

This courses touches many interesing aspects about R programming but I did not like the structure , it does not seem to me that it adequates its difficulty coming from "The R programming enviornment".

Also I miss some swirl lessons for many of the readings from the book. There are not too many help from the mentors and the peer assigment in week 4 took me too much time and had to consult a lot of external resources. Readings in general are OK but too simple.

I have learnt many things but

The topics are good, but very little practice of creating classes until the final quiz, which expects you to understand it completely without having done any practice.

The Object oriented programming section did not provide an adequate amount of support for the assignment, compared to any of the other parts of the Course.