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
来自基因组数据科学中的 PYTHON 应用的热门评论
由 SM 提供Apr 28, 2020
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.
由 KR 提供Jul 16, 2018
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.
由 MK 提供Dec 13, 2016
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.
由 JD 提供Oct 6, 2017
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.
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