I have learned a lot, also struggle a lot! The course could be improve by giving a small explanation before going into the quizzes and by adding the supplementary material in a note at the start. However, the course gave me what I expect.

The course is tough and needs lots of practice and time to handle the stuff explained in this course. In my opinion the stuff should be split into 2 courses (partA and partB) with detailed explanation of every covered topic.

Four stars because the content is good. Not five stars because the english is not so good and for a non-english expert it can be difficult to understand, and the subtitle contains quite often errors.

I think it is a good class overall but the pace is fast and the resources that can help you is lacking. This will be good for someone who already kind of understands bioconductor.

Good course, although some previous experience with R is required and that was not clearly stated beforehand. Moreover it would be better to have a more introductory course to R.

It's very helpful in learning genomic data science. I think it's a little difficult in the beginning. The instructor have some accent, which made me even harder to get into it.

A great introduction to Bioconductor! The course is very hands-on, so be ready to use R extensively.

Good introductory course. It might be a bit outdated now.

A great initiative taken by Johns Hopkins University.

A nice course to introduce Bioconductor to students

I'm going to take this again! hard one.

very fast paced if new to r

Good lectures and material!

Organizing the quiz better

pretty good

good

Could have been a lot better. Interesting to learn about Bioconductor but you only have to take a look at the forums to see how many of the questions are poorly worded and need significant additional information to answer correctly. Some of the information on the questions is wrong. The course could do with a thorough review/edit.

This course teaches you the basic usage of many different R packages. While the content is very useful, the course needs to be better organised. For example, it would have been better if the packages were taught in the same order as they are used in a RNA-seq data processing workflow.

So far findng the course nice as it covers the basics. I am new to programing and bioinformatics so I am finding it ok. However, would like more of an explanation iwith regards to both the biology and bioinformatics.

The quizzes were engaging but i think it requires some knowledge in use R for data science. Though i learned a lot. Thanks again.

Need to be simplified. Personally, I understood the lectures notes better than lectures videos.

The content should be more recent and should allow for the use of other OS like ubuntu.

very difficult course if you are new to R. Otherwise an okay course

Info is from years back and some things have been changed since then and at least one command no longer works at all. No help from the professor, most of the help were from students helping each other out, and even than they were from years ago (good luck finding someone to help you today). I am not sure if I am just dumb, but when I was stuck I had virtually no way to ask for advice, and after getting stuck the methods I used to get to the answers were often picked up from outside sources. A lot of googling was required. I recommend against taking this class unless they update it or get someone who you can ask stuff directly. If you need it for a specialization like I did, go ahead, but if you are doing this purely for the sake of learning you might as well save some money and go through the bioconductor website and read up on the documentation on your own.

The course is not suitable for beginners. The themes are difficult to understand, specially if you are not familiar with NGS and molecular biology. I knew something about R, so I was able to learn, but it wasn't easy or enjoyable. From the course I only appreciate the additional material on slides and websites prepared to expose the codes, but the tools taught by the instructor are very specific and do not fit in any way to the certificate in Genomic Data sciences.