Learner Reviews & Feedback for Python for Genomic Data Science by Johns Hopkins University
About the Course
Top reviews
KR
Jul 16, 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
Jul 14, 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.
126 - 150 of 304 Reviews for Python for Genomic Data Science
By Shashank Y
•Jan 11, 2020
Learned so much from this course
By Rafał W
•Mar 22, 2019
Great Python refreshment course!
By Juan J S G
•Mar 7, 2017
Muy buena introducción a Python
By Olushola ( A
•Oct 14, 2017
Challenging but interesting!
By Andrew S
•Sep 10, 2022
We need Biopython course!
By YUE W
•May 14, 2020
It is a very good course
By Phuong
•Jul 3, 2020
It's a great course!
By M C
•Apr 21, 2017
Great starter course
By Jeb H
•Sep 30, 2020
Best course so far.
By IvyFields
•Apr 21, 2020
very nice teachers
By Yuezhe L
•Jan 22, 2017
it's very useful!
By Dr M R
•Nov 28, 2021
excellent course
By Guillermo D A
•Sep 11, 2021
Excelente Curso!
By Ray H A L
•Nov 23, 2022
Great! learning
By Jingwei W
•Sep 4, 2016
Just excellent!
By Chunyu Z
•Feb 10, 2016
very good class
By Wilson G
•Sep 15, 2022
Great course
By Sahan P
•Jul 26, 2020
Great Content
By pasan m w
•Dec 25, 2020
Good Course
By Dina A
•Jun 27, 2022
very good
By Alejandra S
•Jul 4, 2021
Excelente
By Albert C G
•Jun 27, 2018
Well Done
By Timothy S
•May 3, 2016
I like it
By Chandra S
•Aug 7, 2021
By Дубів О В
•Nov 11, 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.
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