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.
提供方
约翰霍普金斯大学课程信息
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完成时间大约为9 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将获得的技能
- Bioinformatics
- Biopython
- Python Programming
- Genomics
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
完成时间大约为9 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
约翰霍普金斯大学
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.
授课大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Week One
This week we will have an overview of Python and take the first steps towards programming.
完成时间为 2 小时
5 个视频 （总计 58 分钟）, 3 个阅读材料, 2 个测验
完成时间为 2 小时
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
完成时间为 2 小时
4 个视频 （总计 50 分钟）
完成时间为 2 小时
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.
完成时间为 2 小时
4 个视频 （总计 38 分钟）
完成时间为 3 小时
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.
完成时间为 3 小时
4 个视频 （总计 46 分钟）, 2 个阅读材料, 3 个测验
审阅
- 5 stars54%
- 4 stars29.74%
- 3 stars9.66%
- 2 stars4.18%
- 1 star2.39%
来自基因组数据科学中的 PYTHON 应用的热门评论
由 EP 提供Aug 2, 2020
The whole course was above my expectations. outstanding quality of what is being taught and very clear elaborated noted with helpful example.
由 PL 提供Jul 1, 2016
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.
由 GK 提供Oct 12, 2018
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.
由 AK 提供Feb 27, 2016
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.
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