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.
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立即開始，按照自己的計劃學習。
第 8 門課程（共 8 門）
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完成時間大約為21 小時
建議：8 weeks of study, 2-4 hours/week
英語（English）
字幕：英語（English）, 阿拉伯語（Arabic）
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 1 小時
Introduction
In this first week, we'll introduce the project and get you oriented to the tasks that you'll be performing over the next several weeks.
1 個視頻 （總計 3 分鐘）, 6 個閱讀材料
6 個閱讀材料
Welcome10分鐘
The big question10分鐘
What you will be doing in this capstone project10分鐘
Passing the Capstone10分鐘
Why re-analysis?10分鐘
Why is this so hard?10分鐘
週
2完成時間為 1 小時
Introduction to the Dataset - Andrew Jaffe
This week, we'll really dig into the dataset by providing an introduction from Andrew Jaffe, the lead scientist on the analysis. You should also be looking ahead to Task 2, which is due in Week 4; the alignment will take a long time to perform, so you should start early.
1 個視頻 （總計 4 分鐘）, 3 個閱讀材料
1 個視頻
3 個閱讀材料
Phenotype information10分鐘
Getting the data from SRA10分鐘
Which samples to use10分鐘
週
3完成時間為 1 小時
Understand the Problem
The purpose of genomic data science is to answer fundamental questions in biology. Before starting on the data analysis process, the first step is always to understand the scientific question you are trying to answer. Don't forget to stay on top of the alignment task due in Week 4; it will take a long time to accomplish and shouldn't be put off.
1 個視頻 （總計 7 分鐘）, 1 個閱讀材料, 1 個測驗
週
4完成時間為 2 小時
Alignment
Once you have understood the problem, the next step is to obtain the raw data so that you can perform your analysis.
1 個測驗
4.6
13 條評論來自Genomic Data Science Capstone的熱門評論
Great course! I can't think of a better way of putting together all we learned during the whole specialisation in one real world research project...
An excellent challenge. Previous courses everything was neatly packaged before you start. This course teaches you how to get there.
講師
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic MedicineBloomberg 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.
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