It was well taught. I liked the fact the two professors focused on two different subjects- biology and statistics portion of this course. The paragraphs written below each video was extremely helpful.
Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!
par Ana F•
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
par Sanjay V•
I am completely new to Genomics but with some technical background in statistics and computer tools etc. This is a good course to step into the world of Computational biology and get some understanding of tools involved. I had to do lot of side reading on sequencing technology and Gene science. If you dont have this background, this course is a exercise in button pushing. I wish the instructors emphasise this and suggest on-line refernces(beginner friendly) to get the necessary background. In the end, it was a positive experience for me to understand the Galaxy tools and what they are capable of.
par Sabrina S•
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.
par Emilia M•
The content in this course is very interesting and valuable. For someone with background in biology-related fields, most of this will be known already and can be seen as a refreshment. For people who aren't in biology fields, this content is great as an introduction to basic biological technologies. The only downside for me is that the content hasn't been updated in a long time. This can be an issue, because in science everything changes very rapidly as new things get discovered. The paper for the final project is from 20 (!!) years ago.
par Natasa J•
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.
par Jen M•
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.
par Nils W•
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.
par Brandon W•
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!
par Michael T•
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.
par Alan A•
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.
par Michael R•
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.
par Kristine M•
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.
par Neal S•
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.
par Douglas C•
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.
par PRABHJEET K•
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.
par Matheus d L C•
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.
par Jason T•
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.
par D T•
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.
par Guillermo A B•
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.
par sidney R•
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.
par Nicholas Y•
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.
par K H•
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
par Dan C•
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....