Muy buena introducción a Python

Really good introduction to Python, Genomics in the two together. This was the first Python course - of many - I've since done and then gone on to use Python professionally and for my own 'Hacker/Maker' projects.

A few typos / mis-alignments between the slides and the explanations - but nothing serious. The presenters know the material and present it well.

A couple of good TAs (full disclosure - I am / have been one of the less good ones!)

Excellent course! It provides very solid foundations for using Python as a tool for Genomic Data Analysis. I highly recommend it!

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.

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

Good start on Python and some sequence analysis, looking forward to start programming more

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

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.

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

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.

It was good and practical.

it is a nice course overall, but needs more practical examples.

4 and a half stars. Some more coverage of biopython and random length variables would be helpful.

Very good--perhaps a little slow for those who have already learned a half-dozen languages.

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

Uma pena não poder submeter aos quizes sem efetuar a compra do curso.

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.

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!!!

VERY GULD!!!

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.

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.

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.

final exam was tough

Very informative course for people working with genomic data

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