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.

There is a large gap between the course material and the assignments. Requires A LOT of extra research to complete if you do not have prior R experience.

Nice course, but the gap between video lessons and programming assignments was too wide for me. Would have loved more guidance towards the assignments.

Course content was good, but assignments were way too hard and not related to course content. I have to spend long hours online to do the assignments.

more programming assignments and long course duration to introduce a step-by-step learning about the features of R can be done to facilitate learning.

Overall good, but some major information missing for completing assignments, + very hard to understand the speech of the lecturer Peng in some cases.

I think this course could have been twice as long with all the material that was covered in it, especially compared to the Data Scientist's Toolbox.

To less MP to understand what's the core processing method in R, but over all a nice language course for someone who has learned CS courses before.

R Programming is seeming difficult more hour courses are required to be initiated for making this language better learn among scientific community.

It seemed like course material had little to do with the assignments. Teach us how to read alphabets and assignment is to write poetry. Big jump!

i would have preferred if the advance topic were touched . things like plotting etc plus more hands on exercies and hacks for reducing code size

I understand why R was chosen to be the statistical software package chosen here, but I personally don't like it and professionally use SAS JMP.

Assignments don't always align to the course content....

In terms of usefulness and coverage of this course, this really is just the basics of R.

for a beginner user the assignments were too difficult. there was a gap between the courses and the assignments. the swirl courses were helpful

Huge gap between programming assignment and lectures. Need to seek other resources to be able to solve/complete the programming assignment.

it is NOT for beginner, the student should have "more than average" in the programming languages, in order to get benefit from this course.

There's a huge gap between what is taught and what is expected in the assignments, the course is good but needs to be more comprehensive.

material is just not prepared with a beginner in mind. the assignments are too challenging for someone with little/ no coding experience

Great course. But to be frank it was the "Swirl" exercises that did 80% of the job. The lecture videos weren't at the level I expected

Lectures and exercises are very good. Somehow assignments are not related to the lectures or exercises. Assignments are too difficult.

Solid course overall only complaint is the programming assignments are a bit difficult to do based on what is taught in the lectures.

The main exam is to difficult. I feel there was a huge leap from theory to the actual finishing hospital function which was complex.

The last coding assignment was way beyond what was taught in the lectures, the syntax search eats up most of the assignment solving