Very informative, however could be more complete. Some functions aren't introduced and the swirl package didn't accept other solutions path that would likewise lead to the same result. I believe also that some update would not harm. However, this course is really informative and, in my opinion, one of the best available. I really enjoy this course. Nice job and thank you very for sharing this knowledge.

You are very much on your own as far as figuring out methods and steps. Expect to use the forums a lot. The professor does a great job explaining but there's a gap between the lecture and the assignment. I compare it to not knowing what a circle is and then being asked to draw one just based on someone's explanation. You'd get better results if you were at least shown a curved line.

I really liked the format of the Quiz for Week 4 - there is a dataset given and questions requiring you to do your own data manipulation/calculation to come to an answer (as opposed to the other weeks requiring swirl lessons, which weren't as fun/challenging). I would've liked to see more of the Week 4 type quizzes earlier. Overall, though, this is a good foundation course.

Swirl should be accepting of other answers as well as different snippets of code will produce the same result.

At times this got frustrating and my reason of taking time to complete the course is because I'd leave things in between because of swirl issues.

This goes away and it is a 5-star as a beginner course; it is made beautifully to get us up to speed

This course is very informative and practical special the last assignment because I saw the real data and use of some of packages and functions which I only read them so far and I didn't know how to use them. I didn't give five stars only because problem which I have with swirl during the course:)

I wish there had been more exercises like the final Week 4 quiz along the way -- Swirl was useful as an interactive supplement to the readings, but those last 10 questions were the only time where I really felt challenged to use learnings to solve problems more independently and originally.

Recorded whiteboard classes or videos from the instructors would significantly increase the value of the course. There should be more interaction with the instructors. Some weeks tasks/assignments were extremely more difficult compared to others. Otherwise, I liked it and learned a lot.

A very unique approach to teaching a programming language. This course removed my fear of learning a programming language. I have become comfortable in running Rstudio, and understand the codes. Various excel operations I feel comfortable doing with R. Thanks for the course Dr. Peng.

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.

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

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.