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.

Overall this course is good, beginners friendly. as a biology student as me, you can expect a very fundamental introduction of both computer science and statistics. not much of bioinformatics tools into so far. one suggestion for the teaching groups, would be better if employee more practical examples to explain any new value, concept or formula:)

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.

Thank you for putting together a concise introductory course to this vast field. This course is a very good starter into the subject especially for a wet lab scientist. I thoroughly enjoyed learning the computational side of the genomics. I am looking forward to learning more from the other courses in this specialization.

A good brief overview of the topic. Not sure that it fills a full four week course. More in-depth coverage of topics such as the process and tools for sequencing and some explanation of the raw data produced would have been appreciated, as would have references for additional resources on topics covered.

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.

Decent. There are some strange trivial errors in some of the questions. One that comes to mind is that RNA is not a "copy of DNA with U instead of T" - it's RNA! I think you also would do better not to sledgehammer Vivian Cheung twice....plenty of people made mistakes...spread your fire a bit.

It would have been much better if we could have found out why our quiz answers were wrong and what the correct answer is supposed to be.

Quizzes sometimes seemed unrelated to the material.

A "deeper learning" option, were we could read amterial that went beyond the video would have been great.

This was my first course on coursera and this course is very well structured . i did the molecular biology and measurement technology very easily but found little difficulty in data science part as that part was new for me. I feel good that i got to know more by joining this course.

The last module and the final paper was a little confuse for whom is not from Biology (I'm from computer science). But the course is very well made and gave me the notion I'd like to have. The professores are very well qualified and inspired me about the subject.

Very good intro course. Information is presented clearly and concisely, and it was pretty easy to comprehend even with no background. Only reason I didn't give it 5 stars was the quizzes were a bit too easy and I don't think touch on all the important details.

Excellent short introduction to Genomic Technologies and a good starter course for the specialization. It provides a very good overview of what is to be expected in the other courses while at the same time establishing a good foundation for what is to come.

This course touches very basic points and its good for refreshment if you already know these topics, not so good if you are new in the field. The two instructors are clear, concise and they show they are very experienced in the subject.

Hard to comment without having done subsequent courses. Was surprised by what was assumed to be known by participants. Review of DNA structure and chemistry and the chemistry of contemporary sequencing would have been useful.

It's a great course for those who want to get their basic concepts clear, it is beginner-friendly as well and the quizzes are easy to solve. They must add a little depth to the teaching of the concept and include more details.

It is a good introduction course for people how are getting into genomics or bioinformatics, would recommend for those who are starting in this field, or want to update their information on new technological advancements.

I joined this course because of my professional and personal interest. The videos, materials, assignments are up to the mark and now Iam going to complete the remaining courses in genomic data science specialization.

Nice course containing main important technologies and statistical analysis but I felt there can be more videos about types of PCR, NGS, etc . but overall good content. It was helpful for me to recall my knowledge

Good overview of the knowledge domain. Perhaps it could be extended with some advanced, optional reference material for those keeners who would like to explore in more detail some of the topics presented upon....

En general esta muy completo y la informacion sobre estadistica ayuda mucha a entender mejor los temas que siguen. Sin embargo la forma en que se explican los videos a veces es muy monotona y poco dinamica.

The course is a good introduction into genomic data science, I disliked last week because teacher gave too many unnecessary information. But overall it is great course for Computer Scientists especially.