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.

some assignment questions are not from the lessons. please solve this issue .

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

This course has some useful information, but it is far from polished, and it is unclear who the class is truly designed for. The readings have a number of formatting issue and typos. I was disappointed that this class did not utilize lecture videos or practice exercises. There is not enough opportunity to reinforce the material through practice, which turns the assessments into abrupt roadblocks. If I wanted to spend most of my time just reading about R, I could have bought a book instead. Compared to other courses I have taken on Coursera, this class had fewer features, less content, and seemed much less thought out.

This was a nice introduction to R for someone who has had previous programming experience. However, many of the lessons had simple grammatical errors in them, which is just unprofessional. Many of the swirl lessons were just the online material repeated, so reading the lessons then doing the swirl lesson was massive repetition. Also, many of the swirl "lessons" were merely "Type this in and see what happens!" which doesn't really teach anything. Finally, the final quiz material had spaces in the column headings which was fixable but added a level of monotony and inconvenience that was not needed.

While I do feel like I learned the material, the lack of video demonstrations and over-reliance on the textbook made this a much less pleasant class than most Coursera courses. In addition, the demonstrations of ideas were generally weak - in particular, the final quiz, where we were expected to combine datasets, was something that I didn't feel prepared for. It felt like I had to teach myself how to do this through my own research, rather than something that the class had prepared me for.

This was a terrible course. It starts off extremely basic in Week 1 which makes you feel like a rock star. Week 2 becomes extremely difficult then Week 3 easy again. Week 4 ends up being nearly impossible. I find that there is foundational material that the course does not cover. Nor does it provide guidance or familiarity with the material that it then tests you on. You end up having to do a lot of googling for functions to learn certain rules. It isn't designed well.

The first course of the specialization is very simple. The specialization was announced to be on an intermediate level but at the same time, you need to spend money on a very basic course with swirl assignments pretty much copying the course content. The good thing is that it includes very modern approaches to data analysis and new packages. The second course is much better, nevertheless.

Swirl is a great idea, but each section is submitted independently of the others. You have to complete all sections in one sitting if you plan to submit electronically. I had to redo 8 of the 9 sections in week 1 for this reason.

Content-wise, the quiz in week four is significantly more difficult than the other assignments and I felt a little underprepared.

Swirl is messy. There is no version control, and the package does not handle the course's previous versions well.

Swirl believes that 1:3 and seq(1,3) produce different outputs. Also, it does not tolerate -c(1,3) instead of c(-1, -3).

The submission of the quiz results is buggy. Overall, text-based courses do not seem to be elaborate enough.

Several features are currently not working. For example, the Swirl assignment in week one has a bug whereby "R" doesn't accept the computer assignment code generated by Coursera. I can't submit the assignment for a grade. A few people have commented on the discussion board, but there is no response to this from the instructors/TAs.

99% of this course is awesome, but there's a VERY well-documented issue with the Week 2 assignment that took longer than the rest of the course combined. An official solution from the instructors is necessary, though students are quite helpful. That one issue heavily distracted from being able to effectively learn.

I found the final project very very difficult as weeks 1 to 3 did not cover sufficient practice of the libraries which were to be used. That having been said, the project was achievable when you spent 20 hours on it. I posted several questions to the forum and received no answers.

There's not much substance. Also, considering there is not video the course seems very non-interactive. Its nice to see the instructors speak and work through examples. Hoping this course was just a quick primer for the R newbies.

The free book R for Data Science by Garrett Grolemund andHadley Wickham is a much better structured introduction! see http://r4ds.had.co.nz/

The course material is pretty good, but Swirl is terrible, and its integration into Coursera is even worse. I can't recommend this course.

just links to a webpage... no support from the mentors no support form coursera... you can use your money more wisely..