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.
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 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 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.
By Yuntian G
•Jul 26, 2023
Very efficient introduction to python under biological context, focus on applications for biologists.
The only drawback is that there lack sample files/sequences to work with. When the instructor give an example (like processing a DNA sequence) I have to get the same DNA sequence by extracting the text from a lecture screenshot. There are also several videos about processing some files without providing a downloadable file for students to practice alongside watching video.
By Kasper T K
•Nov 21, 2017
Fairly good course for introducing basic programming skills for biological sequence analysis. However instructions for the assignments (weekly quizzes) should include some basic testing, where expected answers are given, so you can begin debugging before you answer the quiz, contrary to debug between doing quizzes. When you are getting the wrong answers it can be quite difficult to determine what went wrong, if you can't test your progress against a given example.
By Roy L
•May 17, 2018
The content of the course is quite good, but it would have been nice if they addressed more how to make code run efficiently in Python (e.g. which structures are fast and which should be avoided). Especially during the final exam the way you approach the questions can result in a running time from seconds to hours. As in practice the datasets you will work with tend to be quite large, I think this would be a valuable addition to the course.
By Mona W
•Feb 19, 2023
It's not very friendly and helpful for people unfamiliar with programming. All lectures show coding and concept using slides. It will be better if students get a chance to write programs along with the lectures or provide a coding template to follow along. I was still confused about which tool I should use at the end of the course.
I had some background in R, but, it still, took me a very long to pass the course.