關於此 專項課程
19,383

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

完成時間大約為7 個月

建議 6 小時/週

英語(English)

字幕:英語(English)

您將獲得的技能

BiopythonBioconductorPython ProgrammingR Programming

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

完成時間大約為7 個月

建議 6 小時/週

英語(English)

字幕:英語(English)

專項課程 的運作方式

加入課程

Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習,請直接註冊專項課程,或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時,您將自動訂閱整個專項課程。您可以只完成一門課程,您可以隨時暫停學習或結束訂閱。訪問您的學生面板,跟踪您的課程註冊情況和進度。

實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。

獲得證書

在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

how it works

此專項課程包含 8 門課程

課程1

基因组技术基础

4.5
(1,561 個評分)
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization....
課程2

使用 Galaxy 软件进行基因组数据分析

3.7
(474 個評分)
Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization....
課程3

基因组数据科学中的 Python 应用

4.3
(658 個評分)
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....
課程4

DNA测序算法

4.8
(401 個評分)
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets....
課程5

用于基因组数据科学的命令行工具

4.2
(275 個評分)
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University....
課程6

使用Bioconductor分析基因组科学数据

4.0
(174 個評分)
Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University....
課程7

基因组数据科学所需的统计学

4.1
(172 個評分)
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University....
課程8

Genomic Data Science Capstone

4.6
(29 個評分)
In this culminating project, you will deploy the tools and techniques that you've mastered over the course of the specialization. You'll work with a real data set to perform analyses and prepare a report of your findings....

講師

Avatar

James Taylor, PhD

Associate Professor of Biology and Computer Science
Avatar

Jacob Pritt

Department of Computer Science
Avatar

Liliana Florea, PhD

Assistant Professor
McKusick-Nathans Institute of Genetic Medicine
Avatar

Kasper Daniel Hansen, PhD

Assistant Professor, Biostatistics and Genetic Medicine
Bloomberg School of Public Health
Avatar

Mihaela Pertea, PhD

Assistant Professor
Center for Computational Biology
Avatar

Steven Salzberg, PhD

Professor
Biomedical Engineering, Computer Science, and Biostatistics
Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Ben Langmead, PhD

Assistant Professor
Computer Science

行業合作夥伴

Industry Partner Logo #0

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....

常見問題

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-9 months.

  • Each course in the specialization is offered monthly.

  • Some background in statistics, computer science, and biology is helpful but not required.

  • The sequence shown above is strongly recommended.

  • No, you will not earn credit at Johns Hopkins University by completing this specialization.

  • Upon completion, you will be able to use a variety of tools to conduct analysis of data generated by next generation sequencing experiments.

  • Pre-enrollment will be available on January 11, 2016.

還有其他問題嗎?請訪問 學生幫助中心