Acerca de este Curso
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Learner Career Outcomes

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 21 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English), Árabe (Arabic)

Learner Career Outcomes

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 21 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English), Árabe (Arabic)

Programa - Qué aprenderás en este curso

Semana
1
1 hora para completar

Introduction

1 video (Total 3 minutos), 6 lecturas
6 lecturas
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
Semana
2
1 hora para completar

Introduction to the Dataset - Andrew Jaffe

1 video (Total 4 minutos), 3 lecturas
3 lecturas
Phenotype information10m
Getting the data from SRA10m
Which samples to use10m
Semana
3
1 hora para completar

Understand the Problem

1 video (Total 7 minutos), 1 lectura, 1 cuestionario
1 lectura
Task 1 Instructions10m
1 ejercicio de práctica
Understand the problem18m
Semana
4
2 horas para completar

Alignment

1 cuestionario
4.6
13 revisionesChevron Right

Principales revisiones sobre Genomic Data Science Capstone

por 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...

por PSDec 20th 2018

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

Instructores

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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

Acerca de Universidad Johns Hopkins

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....

Acerca de Programa especializado Genomic Data Science

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

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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