KR
16 de jul. de 2018
A very good course for its length and the amount of time it requires. It improved my python skills and knowledge of Genomics. I'm more engaged in my pursuits than before taking the course.
AN
14 de jul. de 2022
It was easy in the beginning but gets hard and changing at the end.
It was such an honor th have a course with Professor Salzburg.
I would recommend it to all bioinformatics lovers.
por Rafał W
•22 de mar. de 2019
Great Python refreshment course!
por Juan J S G
•7 de mar. de 2017
Muy buena introducción a Python
por Olushola ( A
•14 de oct. de 2017
Challenging but interesting!
por Andrew S
•10 de sep. de 2022
We need Biopython course!
por YUE W
•14 de may. de 2020
It is a very good course
por Phuong
•3 de jul. de 2020
It's a great course!
por M C
•21 de abr. de 2017
Great starter course
por Jeb H
•30 de sep. de 2020
Best course so far.
por IvyFields
•21 de abr. de 2020
very nice teachers
por Yuezhe L
•22 de ene. de 2017
it's very useful!
por Dr M R
•28 de nov. de 2021
excellent course
por Guillermo D A
•11 de sep. de 2021
Excelente Curso!
por Ray H A L
•23 de nov. de 2022
Great! learning
por Jingwei W
•4 de sep. de 2016
Just excellent!
por Chunyu Z
•10 de feb. de 2016
very good class
por Wilson G
•15 de sep. de 2022
Great course
por PSD P
•26 de jul. de 2020
Great Content
por pasan m w
•25 de dic. de 2020
Good Course
por Dina A
•27 de jun. de 2022
very good
por Alejandra S
•4 de jul. de 2021
Excelente
por Albert C G
•27 de jun. de 2018
Well Done
por Timothy S
•3 de may. de 2016
I like it
por Chandra S
•7 de ago. de 2021
por Дубів О В
•11 de nov. de 2022
Pros: in general - pretty valuable course
Cons: Python-related material can be extended; I'm sure the lady on videos is a highly skilled professional, but she seems not comfortable on a video and probably needs more engagement (we know how to read from slides); some tests were WRONG and I reported it
Exam: the worst part and almost vanished my desire to proceed with the course:
1) it's way too complex compared to the material given in lectures - I have professional experience in programming (PHP, MySQL, JS) but this Python exam took me about 6-8 hours to complete. It's not only because of Python I haven't got experience with - it's also about other stuff I should know before submitting answers. I can't even imagine how students without programming skills can fulfill this exam sucessfully. It's like they teach you 2+2, and on exam they require to compute integrals....
2) exam questions (especially 3rd task) are vague. Samples given are very basic and don't show all the variety of edge cases and how to deal with them (i.e. nested ORF, what to do if we see one more Opened Codon etc) - it took most of exam's time to find some external learning resources and to know more theory. I used this resource also as a benchmark to know if what I get is correct: https://www.ncbi.nlm.nih.gov/orffinder/ and it saved me.
3) PLEASE add at least couple of correct answers for sample data (dna.example.fasta file) for students to test their data against something before going on exam. Also add some more description and proper sample cases about codones: i.e. how to trean multiple ORF sequences if inside are some open or closed codons - how to determine the longest etc.
por Sameer R
•24 de may. de 2021
The final exam was too intensive for the level of content presented throughout the course. If one wishes to maintain a sufficient level of quality in instruction to handle the final exam without wasting large amounts of time, I strongly suggest additional resources be added in order to accomplish this task. Other than that, it was a nice, very basic introduction to see how Python can be used in genomic data science. It is a bit disappointing to be this far into the specialization and not be introduced to advanced, state of the art methods for genomic data science that are used in industry or research today.