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.
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来自基因组数据科学中的 PYTHON 应用的热门评论
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.
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.
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.
Compared to the lectures, the final exam was very difficult. It would be great if the professors provide more practical examples in the lectures similar to exam questions.
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!!!
I learned a lot. The final exam was more difficult than the course content, but I think it was critical for ensuring that I was able to apply the course content.
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.
Great introduction to genomic data science using Python. The questions were challenging enough to make you work and wasn't too difficult that you get blocked.
I learned a lot from this course, being new to coding. The content is tweaked towards bioinformatic problems and requires a good grasp of the topic to pass.
A great medium to learn python via, I'm not a biologist, but that is no barrier, and the backdrop is a great way to learn to play about with Python.
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.
The lectures were really good. I am a microbiologist and have very little background of computer programming. A more detailed course would have he
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