GREAT !

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nice！

great

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A good introduction to the topics and concepts in the field of genomic data science in general as well as the other courses in this specialisation.

I did this course close to the last (6th) being a professional in the Bioscience field for some time and so the first three 'weeks' I pretty much did in a couple of hours with close to full marks (not a boast but a statement: this course will give you the overview I accumulated in the real world; there is nothing esoteric or missing from this course).

The final assessment I found a little quirky compared to the other courses I'd done being a comprehension style 'read a research paper + answer questions' rather than a 'enter the number of X given conditions Y applied to dataset Z' as many of the other course use. Still, celebrate diversity and all that...also I can't think of a better assessment for this entry level / background course.

The first three weeks were too easy, then Jeff Leek introduced a bunch of Statistical Concepts at once. I think I would rather have spent more time taking an overview of the field and what the certificate has to offer in application to my job as a biologist/learning bioinformatics.

The project at the end reminded me of evaluating scientific papers in college. Very useful, but out of context I thought. I think I would like to have more of a refresher in certain concepts in advanced genetics prior to being quizzed on them through a project.

Overall, it was a good course, but someone without a background in biology will certainly struggle with it

The entire course took me about 8 hours to complete. The videos are on average around 10 minutes long. The first two weeks of the course were very introductory and had they stayed that way I would have been disappointed (however they were focused on my specialization). Week 3 and 4 made it worth it for me and were very helpful (computing technology and statistics). I thought the course project could have been better. I didn't feel it was a strong overview of what I learned about the course. Either way, I'm glad I went through the entire thing.

This course is great for people like me, who know almost nothing about the topic, lectures are good, points are clear, understandable and not too long. Only thing I actually didn't like is amount of lectures. The course is planned to be completed in 4 weeks and for me it was over in few days. I would like to add that I've listened the lectures from work and spent 1-2 hours a day on it. All in all, I'm glad that I've started from here and plan to continue with the rest of the specialization.

Overall a good intro course. Molecular biology basics were covered so quickly and with terms and concepts pulled almost out of thin air, anyone without a pretty substantial background would probably be lost fairly quickly. And those of us with a genetics background fairly bored until we got to the later weeks. Still as a course designed to get everyone on the same page for the rest of the Specialization, I feel ready for the next course.

I appreciated how the instructors presented the content in a fluid and limpid manner, with relevant examples and auxillary knowledge that you couldn't find in a textbook. The assignments provided the opportunity to apply the learned content to analyse and parse statistical data from actual journals.

The new and up-to-date knowledge I gained by taking this course made me more confident to apply to graduate school.

Thank You

The four modules of the course are well suited for an introduction. For graduates in biology the questions might be a bit too easy (especially considering you can take the test again after reviewing the lectures).

The last part with the genomics paper might be too hard because it includes some genetics concepts that have never been talked about in the lectures.

I think this is a great introductory course to genomic data analysis. however, the primer of molecular biology and techniques could be more detailed. It also helps to have some prior knowledge in this area to really understand the details and complexities. Looking forward to the other classes though. It was refreshing to jog my memory on many of these things!

This was a great overview of the computing, statistics, and biology required to understand bioinformatics. The only negative was, that I found the final exam to be somewhat unrelated to the course.I am also hoping that there will be more references later on if we want or need to go deeper into these three areas, especially in the area of molecular biology.

I'm fascinated by bioinformatics and genomics, which is why I took this course. I gave the course four stars instead of 5 because I think the flow of the lectures could have been better. When watching lectures, I often found myself jumping around in my notebook to write something down. Other than that, the course was an excellent introduction.

The course was interesting if you want to start learning Genomics and Data Science. Some of the videos are very basic if you're a biologist but if you don't know any basic NGS and statistics, it is worth taking this course. Overall I enjoyed the course and it encouraged me to continue taking the other courses of this specialization.

For the most part I really liked this course. The teacher for the first 3 weeks was great. Things really go off the rails with Week 4. The instructor assumed a much greater understanding of Statistics than an introductory/beginner level. I didn't think the lectures from Week 4 prepared me for the Quiz.