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
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
Week One
This week we will have an overview of Python and take the first steps towards programming.
5 個視頻 （總計 58 分鐘）, 3 個閱讀材料, 2 個測驗
5 個視頻
Lecture 2.1 - First Steps Toward Programming Part 110分鐘
Lecture 2.2 - First Steps Toward Programming Part 215分鐘
Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)8分鐘
Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)9分鐘
3 個閱讀材料
Welcome10分鐘
Pre-Course Survey10分鐘
Syllabus10分鐘
2 個練習
Lecture 1 Quiz6分鐘
Lecture 2 Quiz24分鐘
週
2完成時間為 1 小時
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
4 個視頻 （總計 50 分鐘）, 2 個測驗
4 個視頻
Lecture 3.2: Data Structures Part 2 (10:41)10分鐘
Lecture 4.1: Ifs and Loops Part 1 (11:26)11分鐘
Lecture 4.2: Ifs and Loops Part 2 (15:28)15分鐘
2 個練習
Lecture 3 Quiz20分鐘
Lecture 4 Quiz20分鐘
週
3完成時間為 1 小時
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 個視頻 （總計 38 分鐘）, 2 個測驗
4 個視頻
Lecture 5.2: Functions Part 2 (8:20)8分鐘
Lecture 5.3: Functions Part 3 (13:24)13分鐘
Lecture 6: Modules and Packages (10:32)10分鐘
2 個練習
Lecture 5 Quiz20分鐘
Lecture 6 Quiz12分鐘
週
4完成時間為 2 小時
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 個視頻 （總計 46 分鐘）, 2 個閱讀材料, 3 個測驗
4 個視頻
Lecture 7.2: Communicating with the Outside Part 2 (7:38)7分鐘
Lecture 7.3: Communicating with the Outside Part 3 (17:42)17分鐘
Lecture 8: Biopython (13:32)13分鐘
2 個閱讀材料
Final Exam Instructions10分鐘
Post Course Survey10分鐘
3 個練習
Lecture 7 Quiz10分鐘
Lecture 8 Quiz10分鐘
Final Exam (Read Instructions First)20分鐘
4.3
118 個審閱40%
完成這些課程後已開始新的職業生涯
33%
通過此課程獲得實實在在的工作福利
來自基因组数据科学中的 Python 应用的熱門評論
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.
講師
Mihaela Pertea, PhD
Assistant ProfessorCenter for Computational Biology
Steven Salzberg, PhD
ProfessorBiomedical Engineering, Computer Science, and Biostatistics
關於 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.
關於 基因组数据科学 專項課程
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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