This course is not as satisfactory as the second one, "Advanced R Programming". You spend most of the time reading the book they wrote. There is no video lecture or interactive quiz. The most annoying part is the peer-reviewed assignment part. This is a coding project where you need to create your own geom. I understand that building your own geom is an advanced topic in visualization using R. However, at least for me, I rarely have this need in my work. The example and the dataset they use for the project isn't very interesting neither. Overall, I think this course should not be included in the specialization.

The peer-reviewed assign

I have been progressing through all the courses in this specialization and, overall, the courses have been of tremendous value to me. However, it's really not the courses themselves but the book that goes along with the courses that deserves the four and five star ratings I have previously given (these courses are really nothing more than "read the book" and "take the assignments"). Nevertheless, the knowledge gained is not easily available elsewhere. 80% of this visualization course (i.e. the book) was excellent and I give it top marks. The other 20%, starting with the grid system section to the end of the book, was terrible. These sections need a complete rewrite as they are barely comprehensible and certainly not comprehensive. The final assignment does not test you on how much you learned in the course, rather it tests you on how much time you spend on your own finding other relevant sources of information on the internet to figure it out. Also, I don't understand why creating a custom geom would be a more important software development skill than R Shiny for example, given that having the ability to develop interactive apps is critical to visualization. I will give this course 3 1/2 stars, rounded down to 3 since coursera won't allow a half star. I hope the authors take what I have to say as an opportunity for improvement since I have benefited tremendously from this specialization so far and I would like to see it improved in certain areas.

Content on ggplot2 framework is solid. However, no video or explanation to complement the textbook, students are expected to learn by reading solely.

Final assignment requires prior R programming knowledge, which is not taught in this course. This can lead to frustration in the end. Probably those who are enrolled in the entire specialization will find this assignment more manageable. I personally had to spend more than 20 hours on this supposedly 4-hour assignment.

Great course! You'll learn a lot about the graphic capabilities of R. However, I think there are some things that need to be explained before one goes on to complete the final project.

I wish there were videos and not just reading a website but the content is really top notch. I will definitely be using what I've learned in the future.

Nice

It is a very good course, but feels a bit more hands-off than the other 3 preceding courses in the Mastering Software Development in R certificate.

Great course

The way last exam is presented makes student lean towards unconcise programming

Great gap between teaching and what is required to pass the course. Unnecessarily difficult.

The didactic material is not compelling.

Not recommended.

I could plot in R before and many of the topics discussed in this course I already had a working grasp on. Still, the course helped me really gave me a whole new depth of knowledge on the packages that plotting is build around in R. Highly recommended!

the course content is just copy from the book

Obtuse and doesn't give enough practice opportunities

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

very useful, especially the final practical exam.

not 5 score because I think more time should have been spent in more modern interactive charts

A nice course

This course was not good at all. Almost all of the information is a screen scrape from a book and peer-evaluated, so you may be better off just getting the book and going through it. Neither the mentors nor the authors ever participated. The assignments are poorly written and missing too much detail. Ending up bailing on the course and the final capstone as I'm simply not learning anything and the projects are too frustrating to work on.

You'll learn how to make a custom geom, and apply what you learned to an interesting dataset.

This course has though an insane difficulty level, mostly because you don't have the information you'd need to succeed easily. I'd only recommand this course to people following the entire R specialization: if your goal is to learn how to make a custom ggplot, follow an external tutorial, you'll avoid being frustrated.

nice course

Good material. Thanks a lot for this course.

The designers of this course designed a final assignment that is way beyond the curriculum leading up to it, and judging from the discussion forums it gives everyone severe headaches to deal with it. They know of the situation, but rather than alter the assignment they just added new "lessons" that boil down to "Why don't you go read some more material in this other person's book about creating graphical elements? You'll be fine!" I am paying to take this course so I'm more than a little ticked off about this. Until they fix the situation you should take some other series of courses to learn about R programming.

Excellent course.

Last assignment is hard but enjoyed.

good challenges