Kursteilnehmer-Bewertung und -Feedback für Python for Genomic Data Science von Johns Hopkins University

It helped me connecting between biology and python but i had to learn the basics of python programming from other beginner tutorials.

A great introduction course about essential python programming skills for bioinformatics works. As someone who has experience with other programming language but is experiencing python for the first time, I found that the difficulty of the course is at just the right level. I hope that there can be more stuff about biopython.

final exam was tough

A fantastic course for the beginners. More of biopython modules training will be appreciated.

Thanks

Very informative course for people working with genomic data

Thanks for the course, Really useful and nicely organized. Prefer if more Biopython applications is added

I learn a lot here! Thanks!

I took this course without a background in biology or genetics. The material sounds interesting but the lecturers rush through it so fast. They do not provide sufficient explanation of the biology to allow completion of the programming assignment. They ask to write a code for finding ORFs yet they don't even explain how ORFs are defined in case of multiple start codons and end codons.

Can't easily understand one of the instructors. Dislike how it chops and changes instructors in the same course.

Good but need more practise problems in order to understand what you are learning

The final lecture on Biopython, and the exam exercise are good. The quiz questions are annoying because the indentation is messed up.

I enjoyed the lectures, but I felt they didnt go into enough details on analysis of sequence data. The final project was considerably harder than the material taught in the class and problems with the course (e.g. the final exam file not being available) had obviously not been fixed since the last version of the course. A fell I now have a good basic understanding of python but not enough to do any real analysis. Fantastic course mentor/TA.

I think someone who has never coded before can approach this course. However, further reading of the resources presented will augment what has been taught and to better handle the quizzes.

one pretty lecturer, the other with relative faster speak speed, some small error in slides

A good introduction to Python, but the course is a rather short & I think more could have been said about genomics-specific functions, modules, etc. and how to use them.

I didn't know anything about programming and needed a lot of help with this course. I would have like more help in getting python and its complements install. Thanks.

Course content is ok, but didn't prepare well enough for the final exam

Dfficult to follow, at least for people without a background in programming.

Could use more focus on Biopython, less on fundamentals

could have included some practical sessions

Great leaps of difficulty seem unavoidable in this kind of courses. It felt rather easy at the beginning of the course but the level of difficulty just increased exponentially. Programming actually takes a much longer time than simply 4 weeks to learn and practice to be skillful. So please add some sort of warning stating"decent background knowledge required" to the course introduction or it will be a torture taking the course as a completely beginner. The course design could have been done better.

This course is advanced and fast-paced. I found it difficult for those with minimal programming experience.

It's a decent course, but do not expect them to explain much on how to code in Python. It would've been much more helpful had I taken an intro course on Python first.

Incomprehensible.

The instructors explain well, but it is difficult for beginners to implement the codes using python. Therefore, video tutorials describing how to implement the codes in python would have been better to further make this course beginners friendly.