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
教学大纲 - 您将从这门课程中学到什么
周
1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.
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
周
2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.
4 个视频 （总计 50 分钟）, 2 个测验
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
周
3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.
4 个视频 （总计 38 分钟）, 2 个测验
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
周
4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.
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
4.3
118 个审阅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
来自基因组数据科学中的 Python 应用的热门评论
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.
讲师
Mihaela Pertea, PhD
Assistant ProfessorCenter for Computational Biology
Steven Salzberg, PhD
ProfessorBiomedical Engineering, Computer Science, and Biostatistics
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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