Acerca de este Curso

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Resultados profesionales del estudiante

50%

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
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel avanzado
Aprox. 23 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Habilidades que obtendrás

BioinformaticsData Clustering AlgorithmsBig DataR Programming

Resultados profesionales del estudiante

50%

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
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel avanzado
Aprox. 23 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Instructor

ofrecido por

Logotipo de Universidad Estatal de Nueva York

Universidad Estatal de Nueva York

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up90%(1,499 calificaciones)Info
Semana
1

Semana 1

2 horas para completar

Genes and Data

2 horas para completar
11 videos (Total 59 minutos), 2 lecturas, 6 cuestionarios
11 videos
Introduction to Module1m
DNA and Genes9m
RNA and Proteins6m
Transcription Process4m
Transcription Animation1m
Translation Process5m
Translation Animation2m
Data, Variables, and Big Datasets6m
Working with cBioPortal - Genetic Data Analysis9m
Working with cBioPortal - Gene Networks9m
2 lecturas
Module 1 cBioPortal Data Analytics10m
Module 1 Resources10m
6 ejercicios de práctica
DNA, RNA, Genes, and Proteins4m
Transcription and Translation Processes6m
Data, Variables, and Big Datasets4m
Working with cBioPortal6m
Module 1 Quiz20m
Module 1 cBioPortal Data Analytics8m
Semana
2

Semana 2

5 horas para completar

Preparing Datasets for Analysis

5 horas para completar
13 videos (Total 75 minutos), 4 lecturas, 8 cuestionarios
13 videos
Datasets and Files10m
Data Sources11m
Importance of Data Preprocessing4m
Data Preprocessing Tasks2m
Replacing Missing Values3m
Data Normalization9m
Data Discretization5m
Feature Selection3m
Data Sampling2m
Principles of R6m
R Language1m
Jupyter Notebooks 1017m
4 lecturas
Jupyter Notebooks Essentials10m
Notebook Module 2 Tutorial10m
Module 2 R Data Preprocessing10m
Module 2 Resources10m
8 ejercicios de práctica
Datasets and Files4m
Data Preprocessing Tasks4m
Replacing Missing Values2m
Normalization and Discretization4m
Data Reduction4m
Working with R4m
Module 2 Quiz20m
Module 2 R Data Preprocessing10m
Semana
3

Semana 3

4 horas para completar

Finding Differentially Expressed Genes

4 horas para completar
9 videos (Total 53 minutos), 4 lecturas, 6 cuestionarios
9 videos
Overview of Feature Selection Methods13m
Filter Methods4m
Wrapper Methods4m
Evaluation Schemes7m
Selecting Differentially Expressed Genes3m
Heatmaps6m
R Scripts for Feature Selection3m
Jupyter Notebooks 1017m
4 lecturas
Notebook Module 3 Tutorial10m
Jupyter Notebooks Essentials10m
Module 3 R Finding Differentially Expressed Genes10m
Module 3 Resources10m
6 ejercicios de práctica
Feature Selection Methods4m
Evaluation Schemes2m
Differentially Expressed Genes4m
Heatmaps4m
Module 3 Quiz16m
Module 3 R Finding Differentially Expressed Genes10m
Semana
4

Semana 4

4 horas para completar

Predicting Diseases from Genes

4 horas para completar
12 videos (Total 85 minutos), 4 lecturas, 10 cuestionarios
12 videos
Overview of Classification and Prediction Methods8m
Classification Methods Based on Analogy12m
Classification Methods Based on Rules13m
Classification Methods Based on Neural Networks7m
Classification Methods Based on Statistics3m
Classification Methods Based on Probabilities7m
Prediction Methods4m
Evaluation Schemes13m
Prediction Workflow4m
R Scripts for Prediction1m
Jupyter Notebooks 1017m
4 lecturas
Jupyter Notebooks Essentials10m
Notebook Module 4 Tutorial10m
Module 4 R Predicting Diseases from Genes10m
Module 4 Resources10m
10 ejercicios de práctica
Overview4m
Classification with Analogy2m
Classification based on Rules2m
Classification with Neural Networks2m
Classification based on Statistics2m
Classification based on Probabilities2m
Prediction Models2m
Evaluation Schemes2m
Module 4 Quiz20m
Module 4 R Predicting Diseases from Genes10m

Revisiones

Principales revisiones sobre BIG DATA, GENES, AND MEDICINE

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