The content was good but to do the assignments you have to search through various other sources. No any assignment can be done by just by going through the lecture materials

I believe that is possible to improve the presentation, because are missing dinamic in the course and it didn't motivate me to explore more information about it and pratice.

Very practical. But I felt that it could be more concrete in terms of content taught and evaluated. In a way it was like they just read you a manual. However worth it

very well organized, good teacher, good projects. PCA and SVD are pretty hard to understand for who is not in the field (statistics), but no evaluation on this topic.

Ok course, level of difficulty on assignments should be re-assessed and converted to kind of conceptual assignments and tasks than repeatable code in each offering.

Some very good material, however some of the instructions such as the final assessment is very unclear and course work in generall could be better. Good lectures.

It would have been nice to have a few more examples to follow. Perhaps I would have had an easier time if I made effective use of the course materials on github

Videos are very good and the content was well explained. However, in my opinion, at the last couple of weeks the content felt a bit too fast and lacked depth.

A bit challenging and requires the student to research the web themselves for some answers but the techniques learned there will come in handy in the future.

Like other course from JHU, I really appreciated this course pace and the fact that projects requiring more than just applying what is explained in the video

I took this course a couple years back. It's much improved with lectures and exercises around specific functions to help with cleaning up data. Thank you!

A pretty good course on cleaning up and preparing tidy data. However, the material for a couple of weeks was quite brief and could have been more involved.

Great course. The only thing that needs improvement are the quizzes questions, as some were not updated and required me to consult the forums to solve.

Pretty good for the most part. I just found Week 2 to be a bit redundant in comparison to Week 1 and the Course Project instructions to be a bit vague.

A lot of self learning is needed in this course. Be prepared to search for function documentations and stack exchange. Quite frustrating but worth it.

Decent course for learning how to navigate data sets in R. Not always obvious what the intent was, but it was good for learning how R operators think.

Excelente curso. Los examenes practicos son un poco complicados, sobre todo para quienes aun son nuevos y estan desarrollando sus conocimientos en R

The course is excellent. Only problem is, for me, it is very hard to understand the meaning of the final assignment. The description is too simple.

Excelente course!! The only problem I experienced was with the app, I couldn't check my grades correctly and that delayed my grade for a few days.

clearly this course gives important lesson. but i think lots of materials are overlaped with previous course. final assignment is really helpful.

The course begins to delve more into R Programming, which some is beyond my scope of knowledge. Maybe offer more Swirl before the assignment.

Good intro course to learning about ways of getting data into R. I think the final assignment's instructions could be a bit clearer though.

Could be more hands on! for example interactive tutorial where the instructor actually using the functions to demonstrate how things work.

Quite good for me who has just enter this field. Easy understanding lecture videos but the course project is hard for me as a beginner.