Chevron Left
Вернуться к Python для науки о геномных данных

Отзывы учащихся о курсе Python для науки о геномных данных от партнера Университет Джонса Хопкинса

4.3
звезд
Оценки: 798
Рецензии: 123

О курсе

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....

Лучшие рецензии

KR

Jul 17, 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.

JD

Oct 07, 2017

Easy to understand and very powerful examples. Not just it made me familiar with python, it also made it easy for me to teach to my students and inspire them to pursue python further.

Фильтр по:

51–75 из 118 отзывов о курсе Python для науки о геномных данных

автор: Yuezhe L

Jan 22, 2017

it's very useful!

автор: Jingwei W

Sep 04, 2016

Just excellent!

автор: Chunyu Z

Feb 10, 2016

very good class

автор: Albert C G

Jun 28, 2018

Well Done

автор: Timothy S

May 03, 2016

I like it

автор: 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.

автор: 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.

автор: 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.

автор: MINQING I Y

Nov 30, 2018

In general the course is good. I can do some programing at the end of the course. Something I think can improve is the question in the quiz and final exam, particularly quiz 3 and the final exam. I spent quite some time to understand the definition of ORF in the exam question, e.g can I have multiple start codon before reaching a stop codon.

автор: Yuqi Z

May 11, 2019

A great introduction course about essential python programming skills for bioinformatics works. As someone who has experience with other programming language but is experiencing python for the first time, I found that the difficulty of the course is at just the right level. I hope that there can be more stuff about biopython.

автор: Lucrezia F

Dec 13, 2017

You should give more instruments to take the final exam, I had to study mostly on my own because the material was not sufficient (at least for me, who has just started programming). Anyway, I really enjoyed the course and the topic!

автор: Alejandro L

Jun 07, 2016

For a person with absolutely not knowledge of programing its a very nice course to take. Its could be more widely explote the Biopython part, but reading the Biopython cookbook and the baisis presented here its just perfect

автор: Maximilian K

Dec 14, 2016

Started very easy, but became quite hard at the end. Nicely structured and conveyes everything that is needed. However, sometimes I missed why specific tools have been used and not others.

автор: Bill G

Feb 03, 2018

You better know a lot about Python if you plan to pass this course!! Items covered in lecture are elementary. Items covered in exams/quiz's are Graduate Level!!!

автор: Ali R K

Feb 28, 2016

good course for python but you definitely need to have some background in programming to be able to pass. recommend python course by UMichigan here at Coursera.

автор: Pasquale L

Jul 02, 2016

This course was in line with my expectations. Sometimes exercises were a bit out of context. I would have probably dedicated more time to Biopython.

автор: Meghana

Mar 14, 2016

The lectures were really good. I am a microbiologist and have very little background of computer programming. A more detailed course would have he

автор: Giulia P

Mar 07, 2016

Clear but some topic are not well explained and to pass the final quiz is necessary further detailed study.

Very useful the help of the Mentor

автор: Chen J

Jan 16, 2017

I learned a great many Python knowledge from this course. It would be better if the quiz and course material can be connected more closely.

автор: Jason M

Nov 06, 2017

I enjoyed this one quite a bit. In particular, the quizzes were enjoyable. Also, the content was decently complete, all things considered.

автор: Hamza I

Apr 14, 2019

It helped me connecting between biology and python but i had to learn the basics of python programming from other beginner tutorials.

автор: Matthew Z

Jan 22, 2020

Pretty good, though it's mostly an overview of Python itself, rather than of applications of Python to genomic data science.

автор: Ibrahim Z

Sep 14, 2019

Thanks for the course, Really useful and nicely organized. Prefer if more Biopython applications is added

автор: Nicholas B

May 12, 2016

Good for what it is, but I was hoping for something more advanced (on the algorithm/programming side).

автор: samarth K

Jun 15, 2019

A fantastic course for the beginners. More of biopython modules training will be appreciated.

Thanks