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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课程信息
48,518 次近期查看
学生职业成果
40%
完成这些课程后已开始新的职业生涯
33%
通过此课程获得实实在在的工作福利
您将获得的技能
BioinformaticsBiopythonPython ProgrammingGenomics
学生职业成果
40%
完成这些课程后已开始新的职业生涯
33%
通过此课程获得实实在在的工作福利
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 8 门）
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完成时间大约为13 小时
英语（English）
字幕：英语（English）
教学大纲 - 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
5 个视频
Lecture 2.1 - First Steps Toward Programming Part 110分钟
Lecture 2.2 - First Steps Toward Programming Part 215分钟
Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)8分钟
Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)9分钟
3 个阅读材料
Welcome10分钟
Pre-Course Survey10分钟
Syllabus10分钟
2 个练习
Lecture 1 Quiz6分钟
Lecture 2 Quiz24分钟
完成时间为 1 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 1 小时
4 个视频 （总计 50 分钟）
4 个视频
Lecture 3.2: Data Structures Part 2 (10:41)10分钟
Lecture 4.1: Ifs and Loops Part 1 (11:26)11分钟
Lecture 4.2: Ifs and Loops Part 2 (15:28)15分钟
2 个练习
Lecture 3 Quiz20分钟
Lecture 4 Quiz20分钟
完成时间为 1 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 1 小时
4 个视频 （总计 38 分钟）
4 个视频
Lecture 5.2: Functions Part 2 (8:20)8分钟
Lecture 5.3: Functions Part 3 (13:24)13分钟
Lecture 6: Modules and Packages (10:32)10分钟
2 个练习
Lecture 5 Quiz20分钟
Lecture 6 Quiz12分钟
完成时间为 2 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 2 小时
4 个视频 （总计 46 分钟）, 2 个阅读材料, 3 个测验
4 个视频
Lecture 7.2: Communicating with the Outside Part 2 (7:38)7分钟
Lecture 7.3: Communicating with the Outside Part 3 (17:42)17分钟
Lecture 8: Biopython (13:32)13分钟
2 个阅读材料
Final Exam Instructions10分钟
Post Course Survey10分钟
3 个练习
Lecture 7 Quiz10分钟
Lecture 8 Quiz10分钟
Final Exam (Read Instructions First)20分钟
审阅
4.3
来自基因组数据科学中的 PYTHON 应用的热门评论
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 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 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.
由 DD 提供Jul 18, 2019
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.
由 BG 提供Feb 2, 2018
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!!!
由 DK 提供May 10, 2018
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.
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.
由 AA 提供Apr 30, 2016
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.
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 CK 提供Jul 10, 2016
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.
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 MM 提供Mar 13, 2016
The lectures were really good. I am a microbiologist and have very little background of computer programming. A more detailed course would have he
关于 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.
关于 基因组数据科学 专项课程
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.
To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.
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