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Learner Reviews & Feedback for Python for Genomic Data Science by Johns Hopkins University

1,566 ratings

About the Course

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University....

Top reviews


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.


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.

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126 - 150 of 303 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!


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


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: 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.