R es un lenguaje de programación orientado a objetos y de código abierto, diseñado con un enfoque estadístico que permite realizar análisis avanzados utilizando pocas líneas de código. Una de sus principales características es que la mayoría de sus funciones están vectorizadas. Esto significa que las operaciones se aplican directamente a todos los elementos de un vector, sin necesidad de utilizar bucles para iterar sobre cada elemento. Como resultado, el código es más compacto, claro y eficiente.

Introducción a R para ciencia de datos

Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Dominarás los fundamentos del lenguaje R y el entorno integrado R Studio, iniciando con la gestión de variables y estructuras vectoriales básicas.
Explorarás diferentes tipos de datos incluyendo factores, secuencias y estructuras multidimensionales tales como matrices, arrays y dataframes.
Aprenderás a usar representar datos con los gráficos de R y te familiarizarás con las estructuras de control de flujo y programación de R.
Aplicarás todos estos conocimientos en un caso práctico de machine learning desarrollado completamente en R.
Skills you'll gain
- Model Training
- Plot (Graphics)
- Statistical Methods
- Data Wrangling
- Data Preprocessing
- Applied Machine Learning
- Data Science
- Statistical Analysis
- Statistical Programming
- Data Import/Export
- Data Manipulation
- Machine Learning
- Data Structures
- Programming Principles
- Data Visualization
- Machine Learning Methods
- Model Evaluation
Tools you'll learn
Details to know

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Recently updated!
December 2025
Assessments
42 assignments
Taught in Spanish
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There are 4 modules in this course
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