This class provided a great overview of the involved topics. Some more challenging problem solving question and deeper insights into the topics would make the class an even better learning experience.

very basic level for people with basic knowledge of molecular biology and bioinformatics. Yet, it is adequate level of information necessary to start the next courses in this specialization.

This course is very well suitable for beginners. I am eagerly waiting to start the next course of the specialization for deeper understanding. Although, this course was very informative.

This course had gave me the overview of the statistical analyses for genomic data analysis. This is useful for me as I can employ those statistical Analyses knowledge in the near future

Nice introductory course for those who are new to the interdisciplinary field of bioinformatics. However, experienced users could also skip this course and go straight to the next ones.

Es un curso muy interesante y fácil de entender. Sería excelente que actualicen los temas y las clases, ya que, en la actualidad existen nuevos métodos y técnicas que no se mencionan.

Complex topics summarized to key points, which is great. One criticism is that some questions on the quizzes required prior knowledge (fact recall) that wasn't covered in the course

The final project was way more work than any of the other weeks (10 hours!), but it was definitely worth stumbling my way around Galaxy and foreign genomic terms for that long.

A very nice course, but can be difficult for someone with totally no background in this and other tech/statistic stuff. Really enjoyed the course work though, was interesting.

Good for someone who want to learn about genomic technologies. Those who wanna be expert in this field has to go a lot beyond this course. But this one will be a good start

there could be more reading materials for students to understanding some basic statistic terms, like FDR, FWER etc. Actually it's hard to me to understand the concept.

Good introductory course, highly interdisciplinary. You will need some basic knowledge in molecular biology and statistics in order to better understand video lectures

This course lays out the foundation for the rest of the Specialization. The course feels a little light on content but the concepts it does cover are well described.

The course material was interesting and at the right level of difficulty for an introduction. However, the course project was a very difficult scientific reading.

A good, general & quick overview to new technologies in Genomic Data Science.

Recommended to be completed not discretely, but with the entire Specialization Program.

Interesting topic, maybe an improvement could be to provide the material as one file and not many files one for each video (also easier to consult in the future).

Good introductory into the field. But very shallow, it just gives you hints about topics. The Content has to be deepen in some way. But overall excited course.

This course was very interesting, I would have loved to have more "practical" exercises where I would have manipulated actual genomics data in Python or R.

Wish it was a bit more challenging for those of us in scientific research, but I understand the need to be broadly applicable. Enjoyed it and learned a lot.

A good basic overview of the subject. Can be skipped if you have some biology background as many of these topics are covered during a standard sequence.

Good and helpful introduction on genomics. The use of real life examples was especially important on how we use, protect and analyze our data.

Introductory course for the subsequent genomic data science courses. The lecturers are smart and their teaching approach is very encouraging.

Very text heavy based but worth the learning. I found the end paper reading is quite technical science paper yet really focusing on analysis

It was a great introduction about what is genomic data science. I am looking forward to take the other specialization courses from now on.

The course introduces lots of familiar topics, but challenges in the questioning part which also could be thought in the video lecture.