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.
151 - 175 of 340 Reviews for Python for Genomic Data Science
By Madeeha S
•Feb 29, 2024
Excellent instructors
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 Ben B
•Jul 22, 2023
Good, thank you.
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 W W
•Sep 4, 2016
Just excellent!
By Chunyu Z
•Feb 10, 2016
very good class
By Abiodun
•Jan 3, 2025
Amazing course
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 SATWATA M 2
•Aug 5, 2024
good
By Chandra S
•Aug 7, 2021
By Sameer R
•May 24, 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.
By Onur S
•Feb 17, 2018
This is a quick introduction into Python for biological data. I would say there is much more to Python than what's included in this course, however the material was presented quite clearly. I had to increase the playing speed of the videos a bit, all the slow-talking was quite distracting after some time. The quiz questions were sometimes a bit tricky and I liked that. Final exam is much more difficult than the quiz questions and requires significant effort. To be honest it was a bit easy for me to pass, but that's because I've previously solved similar problems at rosalind.info.
By changqing z
•May 31, 2022
This course is kind of difficult. The content is very good though. It overviews all the important steps that are needed for performing the work, but in a very shallow way. If you want to get things done or trouble shoot, you'll need to do extensive research on your own. I have learned python before and I've been working in gene sequencing company for a few years, but there are still some steps, like using command line, installing Biopython, running files...that I need to learn from other resources.