The course content itself is good and easy to follow, but one assignment has a recurring bug since at least 2 years back that prevents other students from successfully submitting a required assignment. Despite a long and active thread regarding this bug, the problem has yet to be addressed, preventing some students from completing the course.

There are a lot of typos, spelling errors, and oftentimes you need to do your fair share of StackExchange, forum, or book research to get an answer. I learned a lot, I just wish it was better organized. You'll learn more experimenting yourself than you will from the class.

While I learned much from this course, I would say that the readings contained enough type-o's and broken links that it became slightly annoying. Also, the final Quiz was much more difficult than the readings/practice that came before it.

I feel that the training could be more extensive prior to assignments. The assignments often cause me to randomly search packages for correct functions to use and how to apply proper syntax, etc.

Aunque el curso está bien explicado y maneja buenos contenidos, hay varios problemas al subir las tareas por el programa que se maneja, los cuales son muy molestos y hacen perder mucho tiempo

You can learn most of it through the package swirl but the quiz at the end was a rewarding challenge that gave good practice. Would make it much better if it had video tutorials however

This is a fairly good course.The interactive R environment is a little rigid and acknowledges correct answers only when certain specific codes are used but all in all .its good

This is a refresher course for someone who already knows R. For anyone starting to learn R and Data Science, Data Science Specialization is a good curriculum to start with.

The instructors did nothing. They did not even respond to a single question through the entirety of the course. The information in the readings was helpful though.

If I didn't already have experience in R, and with tidyR in particular, I'm not sure this course would have been that helpful. As it was, it was a good review.

One must have some R knowledge prior to take this course. I would recommend to take the other R programming course from the Data Science track before.

The use of swirl proved to be confusing to do week 2 test. I had to read the comment threads to figure out which subjects were needed for the quiz.

The course difficulty abruptly increased in the last week.Especially with the last quiz. A swirl exercise before the quiz would have been helpful.

Wrong tutorial on swirl that obliges you to follow the course twice to get the code for the quix and to take the points to go on

Less practice items in this course. Majority is theory. Would have preferred if it had a some more practice material.

low production value at times, frustrating errors in the course data and instructions, but got me there in the end

It was very dificul, i think yoou need to improve the example you give the the students and be more interactive

The problem set is well-designed but the prompt and the wording could be misleading for non-native speakers.

The final assignment is suddenly much more difficult than the rest of the course, otherwise a good course

The instruction from the first three weeks does not sufficiently prepare me for the final project.

There HAS to be mentors/instructors around to assist with syntax questions during this process.

Good course, but in serious need of updating and proofreading.

good course ,, but alot of readings :(

A little too easy for the certificate.

It was n't so easy