課程信息
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第 1 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

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完成時間大約為8 小時

英語(English)

字幕:英語(English)

您將獲得的技能

BioinformaticsStatisticsData ScienceComputational Biology

第 1 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8 小時

英語(English)

字幕:英語(English)

學習Course的學生是

  • Biologists
  • Scientists
  • Biostatisticians
  • Researchers
  • User Experience Researchers

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

Overview

8 個視頻 (總計 81 分鐘), 2 個閱讀材料, 1 個測驗
8 個視頻
What Is Genomics?7分鐘
What Is Genomic Data Science?8分鐘
Just Enough Cell Biology8分鐘
Important Molecules in Molecular Biology7分鐘
The Human Genome Project17分鐘
Molecular Biology Structures9分鐘
From Genes to Phenotypes9分鐘
2 個閱讀材料
Syllabus10分鐘
Pre-Course Survey10分鐘
1 個練習
Quiz 1: Overview and Molecular Biology20分鐘
2
完成時間為 1 小時

Measurement Technology

3 個視頻 (總計 25 分鐘), 1 個測驗
3 個視頻
Next Generation Sequencing7分鐘
Applications of Sequencing8分鐘
1 個練習
Quiz 2: Measurement Technology20分鐘
3
完成時間為 1 小時

Computing Technology

6 個視頻 (總計 39 分鐘), 1 個測驗
6 個視頻
Algorithms4分鐘
Memory and Data Structures6分鐘
Efficiency3分鐘
Software Engineering8分鐘
What is Computational Biology Software11分鐘
1 個練習
Quiz 3: Computing Technology20分鐘
4
完成時間為 2 小時

Data Science Technology

10 個視頻 (總計 55 分鐘), 2 個閱讀材料, 2 個測驗
10 個視頻
What Went Wrong?4分鐘
The Central Dogma of Statistics3分鐘
Data Sharing Plans4分鐘
Getting Help with Statistics2分鐘
Plotting Your Data5分鐘
Sample Size and Variability7分鐘
Statistical Significance6分鐘
Multiple Testing7分鐘
Study Design, Batch Effects, and Confounding7分鐘
2 個閱讀材料
Course Project Instructions and Reading10分鐘
Post-Course Survey10分鐘
2 個練習
Quiz 4: Data Science Technology20分鐘
Course Project20分鐘
4.5
279 個審閱Chevron Right

37%

完成這些課程後已開始新的職業生涯

29%

通過此課程獲得實實在在的工作福利

來自基因组技术基础的熱門評論

創建者 KKNov 21st 2017

Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!

創建者 MRJun 13th 2016

Very good introductory course. It's a lot of material to cover for a newbie, but if you have some background, you will find you progress pretty quickly. Enjoyable, engaging, fun and useful.

講師

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Steven Salzberg, PhD

Professor
Biomedical Engineering, Computer Science, and Biostatistics
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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

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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