Too expensive for the material it provides; it is helpful and necessary but this course can be summarised in 1-2 lectures. There is a very good lecture from an external speaker,which was very good and funny (at least i found it funny) and i didn't realise that it was 30 mins long.

Course content is okay - there was some repetition of topics throughout the weeks. As the other first courses in the specialization, students would benefit tremendously if the instructors were a bit more active - the course feels out of date and abandoned.

This was, by far, the hardest course in the specialization until now. Not because of its dificulty per se, but because it was too boring, there where very little practical exercises, and I just had to gather all my willpower to get to the end of this one.

The course seems to be based on lectures recorded at different times. Some points discussed are repetitive. the quality of content is good though. I believe the whole material may have to be updated and, potentially, re-recorded.

Most of the knowledge one needs can be perceived till week 2 only. Week 3 is a complete repetition of previous 2 weeks. While week 4 offers case studies which I feel are not much important. But overall the experience was good.

This is a good course for people who don't have experience with conducting research. For experienced researchers, the content provided is not too informative. More discussions on R Markdown should have been provided.

I had difficultly with the two assignments, not because they were difficult but because the instructions were not clear. From reviewing other's assignments, it did not appear to be just me.

Has interesting ideas and approach to forming a structure way of analysing a problem. The module does feel a little thin in content, and perhaps should be combined with Exploratory Analysis.

A bit too much focused on academic research, I find. Quality of the video's isn't always top-notch either.

Good exercises to practice plotting skills with interesting, real-life data sets.

I wish they'd stop labeling the course projects as two hours. The week 4 project took a lot longer than that (closer to a week). Also, a lot of the information presented was repetitive.

Good introduction to Rpubs, and important remainder of the importance of reproducible research for scientists, but it may be a bit too much to focus an entire course only on that.

Some of the videos has low quality, which make them harder to understand for non native speakers. In my opinion there is also too less tips for second assessment.

The videos doesn't listen well, and some activities are not interesting, you could teach swave and some of latex instead of repeat some parts of other courses.

This course has contents that are repeated multiple times throughout the course. I think entire course could have been covered in a week or at most two weeks.

The first week assignment should really be the second week assignment since all the lessons about knitr would have made the assignment much easier.

Important and interesting stuff - but lots of it is repeated too much, which make it seem like 4 weeks is too much for the material.

It's, for sure, a necessary content but don't feel like something that deserves to be on this specialization. Content is good.

Interesting material, but wasn't necessarily of the same depth of knowledge like previous courses in the series

This topic is very interesting. But I think that was very large and without as practical things in videos.

This information is useful, but it felt like this could have been condensed in to a couple of weeks.

Week1 can be explained better. First assignment i was clueleass on Kintr and how to generate report.

Why is this its own class? Seems like it could have been covered in a week somewhere else.

Not a well structured course. Also, not very motivating to go through this one.

Don´t like this topics but I understand that they are necessary. Course is ok

Good material, but some of it is out of date (like deprecated functions).