課程信息
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第 3 門課程(共 8 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為13 小時

英語(English)

字幕:英語(English)

您將獲得的技能

BioinformaticsBiopythonPython ProgrammingGenomics

第 3 門課程(共 8 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為13 小時

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

Week One

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
2
完成時間為 1 小時

Week Two

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
3
完成時間為 1 小時

Week Three

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
4
完成時間為 2 小時

Week Four

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
113 個審閱Chevron Right

44%

完成這些課程後已開始新的職業生涯

36%

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

創建者 KRJul 17th 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.

創建者 JDOct 7th 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.

講師

Avatar

Mihaela Pertea, PhD

Assistant Professor
Center for Computational Biology
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Steven Salzberg, PhD

Professor
Biomedical 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....
基因组数据科学

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