First week has an assignment that requires knowledge from the second week. It would be better for the course if both assignments has two weeks for accomplishment.

The course already needs and actualization, plus they must fix the order of the first assignment. Besides that, this is a really useful and fulfilling course.

Covers some important and interesting areas and is generally well taught (although the recording quality on the videos varies). Interesting final project!

lectures are a little bit theoretical and at some point maybe boring but projects will give you a real experience with data and research reproducibility.

All in all a great course with very valuable information to make a data scientist better at his job. However it could have been covered in 2 weeks time

Interesting course, but course assginments lack guidance, have too much complexity and require a time spent too long compared to the benefits

Overall I found this course useful. My only complaint is that the material needed to complete the first assignment in week 1 came in week 2.

Good principles, lectures are improving but still a bit dry and very boring slides. I learned more from my peer reviews than anything else.

Good explication of reproducible analysis and representation of didactic approached towards it.

Thank you & keep up the tutoring skills...

Good course as part of the data science specialization. Much effort needed for assignments in contrast to this relative light topic.

Very good course. Would love to get to see examples of some advanced usage of knitr in developing presentations and complex reports.

Great course. Some of the materials are now a bit dated, but I really appreciated the content and the projects to skill-build.

At first this course seems boring but have realized importance after seeing bio statistic prescription drug video of week 4.

This course provides me with some new ideas about reproducible research and allows me to learn how to wrie .Rmd files.

This was another very useful course in the series, with (peer reviewed) assignments taking on a very significant role.

peer assignment is tough, hard and great to learn.

but the course is very general, not that related to the assignment

Good course. Especially enjoyed final course project. It's really challenging and looks like a real‑life task.

Course nicely highlighted the importance of reproducible research and the use of markdown and knitr packages.

Good course. Nice overview of concepts of reproduciblity and tools for doing so (sweave, knitr, RPubs)

Very good, but maybe not at solid as those before it. Some reproducibility concepts felt a bit vague.

Necesario para conocer, emplear buenas prácticas y darle validez científica a los trabajos realizados

Very good content and pace. Got good hands on experience, right content and structure of assignments

Although there is not a lot to this course I like that it covers an area that is often neglected.

Some of the material seems pretty rote but it did introduce some new software and capabilities.

This is a good course tht open our minds and eyes to the relevance of Reproducible Research.