Acerca de este Curso
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Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

StatisticsData AnalysisR ProgrammingBiostatistics

100 % en línea

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Fechas límite flexibles

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Aprox. 18 horas para completar

Inglés (English)

Subtítulos: Inglés (English)

Los estudiantes que toman este Course son

  • Biologists
  • Biostatisticians
  • Researchers
  • Scientists
  • Data Scientists

Programa - Qué aprenderás en este curso

Semana
1
3 horas para completar

Module 1

21 video (Total 129 minutos), 3 lecturas, 1 cuestionario
21 video
What is Statistics?2m
Finding Statistics You Can Trust (4:44)4m
Getting Help (3:44)3m
What is Data? (4:28)4m
Representing Data (5:23)5m
Module 1 Overview (1:07)1m
Reproducible Research (3:42)3m
Achieving Reproducible Research (5:02)5m
R Markdown (6:26)6m
The Three Tables in Genomics (2:10)2m
The Three Tables in Genomics (in R) (3:46)3m
Experimental Design: Variability, Replication, and Power (14:17)14m
Experimental Design: Confounding and Randomization (9:26)9m
Exploratory Analysis (9:21)9m
Exploratory Analysis in R Part I (7:22)7m
Exploratory Analysis in R Part II (10:07)10m
Exploratory Analysis in R Part III (7:26)7m
Data Transforms (7:31)7m
Clustering (8:43)8m
Clustering in R (9:09)9m
3 lecturas
Syllabus10m
Pre Course Survey10m
Introduction and Materials10m
1 ejercicio de práctica
Module 1 Quiz20m
Semana
2
2 horas para completar

Module 2

14 videos (Total 97 minutos), 1 cuestionario
14 videos
Dimension Reduction (12:13)12m
Dimension Reduction (in R) (8:48)8m
Pre-processing and Normalization (11:26)11m
Quantile Normalization (in R) (4:49)4m
The Linear Model (6:50)6m
Linear Models with Categorical Covariates (4:08)4m
Adjusting for Covariates (4:16)4m
Linear Regression in R (13:03)13m
Many Regressions at Once (3:50)3m
Many Regressions in R (7:21)7m
Batch Effects and Confounders (7:11)7m
Batch Effects in R: Part A (8:18)8m
Batch Effects in R: Part B (3:50)3m
1 ejercicio de práctica
Module 2 Quiz20m
Semana
3
2 horas para completar

Module 3

15 videos (Total 86 minutos), 1 cuestionario
15 videos
Logistic Regression (7:03)7m
Regression for Counts (5:02)5m
GLMs in R (9:28)9m
Inference (4:18)4m
Null and Alternative Hypotheses (4:45)4m
Calculating Statistics (5:11)5m
Comparing Models (7:08)7m
Calculating Statistics in R9m
Permutation (3:26)3m
Permutation in R (3:33)3m
P-values (6:04)6m
Multiple Testing (8:25)8m
P-values and Multiple Testing in R: Part A (5:58)5m
P-values and Multiple Testing in R: Part B (4:23)4m
1 ejercicio de práctica
Module 3 Quiz20m
Semana
4
2 horas para completar

Module 4

14 videos (Total 74 minutos), 1 lectura, 1 cuestionario
14 videos
Gene Set Enrichment (4:19)4m
More Enrichment (3:59)3m
Gene Set Analysis in R (7:43)7m
The Process for RNA-seq (3:59)3m
The Process for Chip-Seq (5:25)5m
The Process for DNA Methylation (5:03)5m
The Process for GWAS/WGS (6:12)6m
Combining Data Types (eQTL) (6:04)6m
eQTL in R (10:36)10m
Researcher Degrees of Freedom (5:49)5m
Inference vs. Prediction (8:52)8m
Knowing When to Get Help (2:31)2m
Statistics for Genomic Data Science Wrap-Up (1:53)1m
1 lectura
Post Course Survey10m
1 ejercicio de práctica
Module 4 Quiz10m
4.1
36 revisionesChevron Right

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comenzó una nueva carrera después de completar estos cursos

43%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

20%

consiguió un aumento de sueldo o ascenso

Principales revisiones sobre Statistics for Genomic Data Science

por ZMJun 28th 2018

The professor is really enthusiasm, so I was really impreesed by him. And his teaching is brief, and I can learn key points through the lectures. Great course!

por LRMay 23rd 2016

I have really enjoyed the course and I have learnt different concepts relevant for my current study.\n\nYurany

Instructor

Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
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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