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.
Este curso forma parte de Programa Especializado - Genomic Data Science
Genomic Data Science Capstone
ofrecido por
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Curso 8 de 8 en
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
11 hora para completar
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 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
21 hora para completar
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 video (Total 4 minutos), 3 lecturas
1 video
3 lecturas
Phenotype information10m
Getting the data from SRA10m
Which samples to use10m
Semana
31 hora para completar
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 video (Total 7 minutos), 1 lectura, 1 cuestionario
1 video
1 lectura
Task 1 Instructions10m
1 ejercicio de práctica
Understand the problem18m
Semana
42 horas para completar
Alignment
Once you have understood the problem, the next step is to obtain the raw data so that you can perform your analysis.
1 cuestionario
Principales revisiones sobre Genomic Data Science Capstone
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.
Instructores
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic MedicineBloomberg 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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
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.
¿Qué recibiré si me suscribo a este Programa especializado?
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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