Great Python refreshment course!

Muy buena introducción a Python

Challenging but interesting!

We need Biopython course!

It is a very good course

It's a great course!

Great starter course

Best course so far.

very nice teachers

it's very useful!

excellent course

Excelente Curso!

Great! learning

Just excellent!

very good class

Great course

Great Content

Good Course

very good

Excelente

Well Done

I like it

Pros: in general - pretty valuable course

Cons: Python-related material can be extended; I'm sure the lady on videos is a highly skilled professional, but she seems not comfortable on a video and probably needs more engagement (we know how to read from slides); some tests were WRONG and I reported it

Exam: the worst part and almost vanished my desire to proceed with the course:

1) it's way too complex compared to the material given in lectures - I have professional experience in programming (PHP, MySQL, JS) but this Python exam took me about 6-8 hours to complete. It's not only because of Python I haven't got experience with - it's  also about other stuff I should know before submitting answers. I can't even imagine how students without programming skills can fulfill this exam sucessfully. It's like they teach you 2+2, and on exam they require to compute integrals....

2) exam questions (especially 3rd task) are vague. Samples given are very basic and don't show all the variety of edge cases and how to deal with them (i.e. nested ORF, what to do if we see one more Opened Codon etc) - it took most of exam's time to find some external learning resources and to know more theory. I used this resource also as a benchmark to know if what I get is correct: https://www.ncbi.nlm.nih.gov/orffinder/ and it saved me.

3) PLEASE add at least couple of correct answers for sample data (dna.example.fasta file) for students to test their data against something before going on exam. Also add some more description and proper sample cases about codones: i.e. how to trean multiple ORF sequences if inside are some open or closed codons - how to determine the longest etc.

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.