Great starter course

Best course so far.

very nice teachers

it's very useful!

excellent course

Excelente Curso!

Just excellent!

very good class

Great Content

Good Course

Excelente

Well Done

I like it

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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.

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.

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.

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.

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.

The course does an introduction to Python, it is well explained and contain relevant information. In my opinion, the final exercise requires more than basic knowledge of Python since they asked for a large computation of repeated sequence of length 12. New students to Python may not be able to code functions that solve the issue in small computers. For the rest, is a nice introductory course.

Well taught course about handling the basics of Python. The final course project was slightly more challenging than the lectures might set you up for and requires some additional reading and playing around with code, but leads to a rewarding finish. Additional feedback and explanations around some quiz questions may be useful to add for future.

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.

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.

This course is a nice introduction to python for people with knowledge in genomics. However, there is a big gap between what is taught in the lessons and the final exams. Personnally, it took me ages to complete the final exam, although I was confident about what I had learnt and understood in the explanations.

I want to give it 3.5 stars. In the beginning it was great. It assumed I knew very little about python. But then it switched to assuming I knew a lot about python. I wish there were more on Biopython. I can however, read, understand, and edit code which is what I really wanted to get out of this.