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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このコースについて
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Learner Career Outcomes
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自分のスケジュールですぐに学習を始めてください。
次における8の8コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
約21時間で修了
推奨：8 weeks of study, 2-4 hours/week
英語
字幕：英語, アラビア語
シラバス - 本コースの学習内容
1時間で修了
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時間で修了
1件のビデオ （合計3分）, 6 readings
6件の学習用教材
Welcome10 分
The big question10 分
What you will be doing in this capstone project10 分
Passing the Capstone10 分
Why re-analysis?10 分
Why is this so hard?10 分
1時間で修了
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時間で修了
1件のビデオ （合計4分）, 3 readings
1件のビデオ
3件の学習用教材
Phenotype information10 分
Getting the data from SRA10 分
Which samples to use10 分
1時間で修了
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時間で修了
1件のビデオ （合計7分）, 1 reading, 1 quiz
2時間で修了
Alignment
Once you have understood the problem, the next step is to obtain the raw data so that you can perform your analysis.
2時間で修了
1 quiz
4.6
13件のレビュー
Genomic Data Science Capstone からの人気レビュー
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
ジョンズ・ホプキンズ大学（Johns Hopkins University）について
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.
Genomic Data Science専門講座について
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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