The course is great, and very challenging. It is a little frustrating that the course requires 1 out of 2 programming assignments to be completed, but shows you as past due despite reaching that goal...

Getting this corrected and verified by Coursera has also been difficult.

The material gets progressively tougher but I never felt totally overwhelmed. My only feedback is for the mentors to be more responsive in the forums - if we're posting it means we've already thrown everything at the question and still couldn't figure it out.

It's a great course for those who are just starting to learn R, It provides enriching for data analysis, however as a constructive feedback, I feel there could be improvements around how the exercise are planned and the submission process for the exercises

the last exam is very hard, which need more knowledge than what you learned in previous chapter. the forum is not very helpful. lots questions are either not answered or answered with delay. But overall, you can get the basic concept from the course.

Excellent intro to using Tidyverse (dplyr, tidyr, readr) to manipulate and clean data in R. Occasionally the readings and the SWIRL homework don't quite match up, but it's not a dealbreaker by any means. It was definitely worth my time overall.

This course was just ok. Much 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 occasionally participated, the authors rarely so,.

Good course, but there were some technical hang-ups with the "swirl" package which made it difficult to submit assignments and get credit for completing them, even once you've solved the coding questions. This was very frustrating.

The presentation of the material is a little all over the place and it is mostly just rehashing the material from an online textbook without any videos. The last assignment is pretty good practice though.

English is not my native language so i had troubles with tasks, because it is sometimes

hard to understand what you have to do. My advice - rewrite final quiz and make it more easy for understanding.

The content of the course is very interesting and useful, for those who want to learn a tool that allows them to perform data analysis, just a small detail that is in one of the assignments

Good to learn the possibilities in the R environment. In the end you learn most by applying it to your own projects (with a lot of help in available documentation or via internet sea).

Excellent class. I had already done a lot of the swirls and would have liked that to be in my record somewhere, although it really wasn't hard--and was probably good--to repeat them.

Very good overall. I feel that the first weeks are too easy relative to the last week - more involved practice and exercises would have been good before getting to the final quiz.

Very good starting course, covers all the basics.

My 2 cents: I would prefer more tests like the last one than the swirl lessons, they're more challenging thus you learn more.

First three weeks materials are amazing, and I like to interactive with swirl(). If there are some more videos rather than reading materials, it would be interesting.

I liked the swirl() package a lot, made me jump into writing codes into RStudio straight away. My only wish was to have some videos that would push me further

The whole course was easy to follow except for the last questions of the last exam where the merged data set results into a null data frame after filtering.

I like the swirl exercises, but found the text lessons to be very short. Overall, good but I hope some video will be given in future modules.

The Swirl interactive course materials are really helpful for hand-on practice in R-studio. Learned a lot of R fundamentals. Recommended.

very well, structure, the quiz was admirably hard, but satisfying to work through and solve. you made me think outside the box, excellent

It is a very good course for new learners. However, it could be better if there is a R script writing the right code for the final quiz.

Course is good. However, some of the packages discussed in the examples, such as ggplot etc. should be discussed in more detail.

It is a very good course. I learned a lot. The only thing I wish I had it here is the videos rather than lots of pages to read.

Can be vastly improved by making it more student friendly and giving more tougher practice exercises to tackle to assignments

This is a good introduction to R but I do wonder if there could be a little more content, particularly in week 4.