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Codynn

A Product of VOID NEPAL © Codynn 2026

Manipulación de datos con R

Este curso se centra en la manipulación de datos con R, enseñándole cómo limpiar, transformar y organizar datos de manera eficiente Aprenderás a trabajar con paquetes como dplyr y tidyr para tareas como filtrar, seleccionar, agrupar y resumir datos . El curso abarca técnicas como la remodelación de datos, la manipulación de valores perdidos y la fusión de conjuntos de datos. También explorará el poder de las tuberías (% título) para un código más legible y simplificado. Al final, podrá manipular y preparar datos para el análisis con facilidad, utilizando herramientas de manipulación de datos robustas de R.

Get Started!
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Course Details

Language

R

Duration

1 Week

Difficulty:

easy

Category

Programming

Certificate

Yes

Requirements

  • Basics of R
01

Introducción a los datos

3 Chapters - 0/3 Completed

¿Qué es la manipulación de datos?

Introducción a dplyr y tidyr

Operaciones básicas de datos en R

02

Filtrar y seleccionar datos con dplyr

4 Chapters - 0/4 Completed

Comprender la filtración y selección en la manipulación de datos

Usando filtro() para Extraer Filas Específicas

Utilizando select() para elegir columnas específicas

Filtro combinado() y select()

03

Transformación de datos con dplyr

5 Chapters - 0/5 Completed

Comprender la transformación de datos

Utilizando mutate() para agregar o modificar columnas

Usar arreglos() para ordenar datos

Summar datos con resumen()

Datos de agrupación con group_by()

04

Tidying Data con tidyr

6 Chapters - 0/6 Completed

Introducción a la identificación de datos

Utilizando pivot_longer() para Reshape Data

Utilizando pivot_wider() para difundir datos

Utilizando separado() a Columnas divididas

Utilizando unite() para combinar columnas

Manejo de datos perdidos con relleno()

05

Manejo de datos perdidos y limpieza de datos

5 Chapters - 0/5 Completed

Introducción a los datos perdidos

Detectar datos perdidos

Falta de manejo Datos: eliminación

Manejo de datos perdidos: imputación

Falta de manejo Datos: Forward and Backward Filling

06

Transformación de datos con dplyr

7 Chapters - 0/7 Completed

Introducción a dplyr

Filtrar datos con filtro()

Selección de Columnas con selecto()

Ordenar datos con()

Crear nuevas columnas con mutate()

Summar datos con resumen()

Datos de agrupación con group_by()

07

Manejo de datos perdidos con NA en R

7 Chapters - 0/7 Completed

Comprender datos perdidos

Identificar datos perdidos

Removing Missing Data

Imputing Missing Data

Técnicas avanzadas de imputación

Visualización de datos perdidos

Final Project: Build a Complete Data Preprocessing Pipeline in R

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