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.
제공자:
이 강좌에 대하여
귀하가 습득할 기술
- Bioinformatics
- Biopython
- Python Programming
- Genomics
제공자:

존스홉킨스대학교
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
강의 계획표 - 이 강좌에서 배울 내용
Week One
This week we will have an overview of Python and take the first steps towards programming.
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
Week Three
In this module, we have a long three-part lecture on Functions as well as a 10-minute look at Modules and Packages.
Week Four
In this module, we have another long three-part lecture, this time about Communicating with the Outside, as well as a final lecture about Biopython.
검토
- 5 stars54.14%
- 4 stars29.73%
- 3 stars9.68%
- 2 stars4.14%
- 1 star2.28%
게놈 데이터 과학을 위한 PYTHON의 최상위 리뷰
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.
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.
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.
The lectures were very good. However, the final exam was poor with unclear instructions on how to solve the questions. Also, the final exam questions and the lectures were not very related.
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