I have really enjoyed the course and I have learnt different concepts relevant for my current study.

Yurany

really a good course for people who want to learn use R to dispose genomic data

La semana 3 puede hacerse dura, pero el curso es muy completo y recomendable.

Great course as a starting point for statistical genomics!

talk fast and informative! I enjoyed it a lot.

very helpful class. instructor very organized.

Great place to start learning genomics in R

Difficult but definitively very valuable !

Really great and in-depth class! thank you

Excellent course! Thank you!

Challenging but worth it

Great course!!!!

Great course

Useful!

Thanks!

I thought this course covered a good set of relatively well-organized material.

I think some of the quiz questions (and optional analysis) was a little buggy in Week 1 (where I needed to use different versions of R for different questions), and I am not sure if that is because some time has passed since the course was first created. There were also issues for some of the questions in the other weeks, but I don’t remember being as frustrated when figuring out how to get an answer that was counted as correct (or, more specifically, not being able to run the intended code).

Additionally, I think this course will probably take more time to complete than listed in the syllabus. I support needing to take more time to learn the material, but I think the estimates can be kind of important when deciding if there is enough time to take the course (for somebody who already has a full time job).

There was also at least one section in Week1 that I thought was more of an opinion. For example, there are important and popular programs for genomic analysis that are *not* available through Bioconductor (including some mentioned in Week 4), and I don’t think they are less “trustworthy.” However, I agree that listing resources and explaining the differences is important.

I think I mentioned it in another course review, but I think the limitations to the methods are something to consider. So, I agree that p-hacking can be a problem, but I think telling people that they should only analyze their data once can also cause problems. I also agree with sharing a public log, even if the problems/bugs that are fixed are not emphasized as much in an official report/problem (as findings that should be given weight in the conclusions, if you found reason why they were wrong).

I noticed that there was a moderator responding to forum questions, so that was nice.

I imagine that I might participate a bit more, even though I have formally completed the course.

Thank you!

Nice overview over the different statistics for genomics studies. Very useful commentary for the scientific usefulness of each statistic and helpful literature suggestions. At times a bit unstructured and confusing regarding chapter titles and sequence.

It is a good course as an introduction. But you need some statistical background to grasp some of the lessons. One major issue with the course is that it is outdated; I hope they update this course with more new content.

Overall, a very good course. Not without its flaws (inconsistent video audio levels), but I have walked away knowing far more about Genomic Data Science than I expected to.

sometimes termininology was used interchangeably, which can be confusing for a beginner but overall a good introduction to statistcs for genomic data analysis

Enjoyed it. One of better courses I have taken in Coursera. A good introduction to using statistics in Bioconductor with genomics data.

theoretical parts need more explanation. But in general, It is a well-structured course. thanks for your efforts

Very helpful and i understood i should master statistics and do more research

new material would be great as well as new datasets

Pretty good but a little superficial and outdated.