About this Course
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Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 21 hours to complete

Suggested: 8 weeks of study, 2-4 hours/week...

English

Subtitles: English, Arabic
Learners taking this Course are
  • Researchers
  • Software Engineers

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 21 hours to complete

Suggested: 8 weeks of study, 2-4 hours/week...

English

Subtitles: English, Arabic

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Introduction

1 video (Total 3 min), 6 readings
6 readings
Welcome10m
The big question10m
What you will be doing in this capstone project10m
Passing the Capstone10m
Why re-analysis?10m
Why is this so hard?10m
Week
2
1 hour to complete

Introduction to the Dataset - Andrew Jaffe

1 video (Total 4 min), 3 readings
3 readings
Phenotype information10m
Getting the data from SRA10m
Which samples to use10m
Week
3
1 hour to complete

Understand the Problem

1 video (Total 7 min), 1 reading, 1 quiz
1 reading
Task 1 Instructions10m
1 practice exercise
Understand the problem18m
Week
4
2 hours to complete

Alignment

1 quiz
4.5
12 ReviewsChevron Right

Top reviews from Genomic Data Science Capstone

By FAJul 24th 2016

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...

By PSDec 20th 2018

An excellent challenge. Previous courses everything was neatly packaged before you start. This course teaches you how to get there.

Instructors

Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Kasper Daniel Hansen, PhD

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

About Johns Hopkins University

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....

About the Genomic Data Science Specialization

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....
Genomic Data Science

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.