The course is challenging and the exams use real-world data.

The sequence of the course is not linear, the exams are too difficult compared to the material covered in classes.

Too basic and too much time spent on general programming trivia if you have considerable experience from other languages and environments. Should be suitable for beginners.

I'm not saying R Programming has to be a gripping subject, but this course is pretty dull. The value of good teaching methods is often underrated in transferring knowledge.

The material covered in the lectures was helpful at getting started with R. But the assignments were far beyond what the lecture covered and taught the students how to do.

Le cours en lui-même ainsi que l'entrainement sur swirl sont bien réalisés. En revanche, les devoirs à rendre sont à un niveau bien en dessus de ce qui nous est présenté.

Good course overall but assignments have too little guidance in how they should be completed and can its easier to use material from future lessons to solve the problems

Lectures were a little disappointing but I learned a lot with the programming assignments. The assignments were difficult and quite time consuming but worth the effort.

The course is not for absolute starters, i recommend having some background of R prior to taking this up. The assignments and exercises are good to gain some knowledge

The course lectures and swirl lessons are quite well structured but the assignments are out of proportion. It is quite hard to get them done. For me, sometimes weeks.

Hay mucha diferencia entre la teoria y ejemplos presentados y las actividades que debemos realizar en R por nuestra cuenta. Falta explicación de estos ejercicios.

I could not complete it as 100% because of a bug, in week 3 quiz and week 1 quiz. in week 1 2questions will never get a correct answer. Same case with week3 quiz.

Video lectures were not very engaging. Assignment No. 2 causes student frustration unnecessarily. There's other and better ways to encourage a hacker mentality.

The lectures were good but the assignments were just too hard for me, I was really lost... I think there is a great difference between lectures and assignments

Don't get me wrong, I did learn R programming from this course. But it was not well designed and the assignments didn't always mesh with what was being taught.

I think it is pretty hard for an entry level course and there were a lot of things which we haven't seen in the lectures but wanted to do in the assignments.

For whatever reason, my biggest complaint is that the coursework did prepare me very well for the assignments. This was frustrating and somewhat inefficient.

The programming assignments are way over the level for this course. Is nice to make it hard but too many things I never fully understood from the assignments.

Very very tough for the beginners. Without high background knowledge of statistics, only having the programming skills are not enough to complete the course.

The course had too much stuff crunched (and poorly explained) in too short a time period. That said, I got something out of it using a self-directed approach.

There's a gap between what's covered in the lesson and the assignments. I had to go elsewhere to fill in those gaps. Otherwise, this is a very useful course.

Assignments were way harder than what was taught in the videos, did not pay attention on various objects used in R and also on how to correctly write codes.

The course is too old to be relevant for current environment. There were certain functions that were used in the early weeks, but explained in later weeks.

Huge gap between difficulty in assignments and lectures leads to frustration at times., but overall the course is good. The swirl exercises are excellent.

For an introductory level class, the progression of the classes could have been more gradual. Classes and assignments seemed a bit disconnected at times.