Skip to content
CouponCode
Curso R Programming: Manipulación Avanzada de datos

Curso R Programming: Manipulación Avanzada de datos

DataBoosters Academy★4.8 rating587036 enrolled

Curso R Programming: Manipulación Avanzada de datos – DataBoosters Academy
Updated July 2026

If you are searching for a free R programming course that teaches data‑wrangling from the ground up, the Curso R Programming: Manipulación Avanzada de datos on Udemy delivers exactly that. Instructor DataBoosters Academy guides you through Base R, Tidyverse, and data.table, letting you master the most efficient techniques for cleaning, transforming, and preparing datasets for statistical analysis or machine‑learning models. The course blends theory with real‑world projects—financial data analysis, social‑media integration, and predictive‑model pipelines—so you graduate with a portfolio of practical skills and a Udemy certificate of completion.

What You'll Learn

  • Build robust data‑wrangling pipelines in R using dplyr, tidyr, and data.table.
  • Master the differences between Base R, Tidyverse, and data.table to choose the right tool for each task.
  • Learn to import and merge data from CSV, JSON, and SQL sources with seamless R joins.
  • Understand how to clean datasets: handle missing values, remove outliers, and standardize formats.
  • Create new variables with mutate(), reshape tables with pivot_longer() / pivot_wider(), and aggregate results with summarise().
  • Implement advanced date‑time manipulation using lubridate and text processing with stringr.
  • Apply data‑preparation techniques that feed directly into predictive‑modeling workflows.
  • Analyze real‑world case studies, from financial time‑series to social‑media sentiment, to reinforce every concept.

Course Details

  • Instructor: DataBoosters Academy
  • Rating: 4.8 stars (587 036 reviews)
  • Enrolled students: 587 036
  • Language: Español (es‑ES)
  • Certificate: Yes, upon completion
  • Includes: Lifetime access, mobile‑friendly videos, downloadable resources

(Duration, Level, and Last updated are not disclosed by the provider and have been omitted.)

What This Course Covers

1. Fundamentos de la Manipulación de Datos

  • Conceptos básicos de Base R para seleccionar y filtrar filas y columnas.
  • Introducción a los verbos del Tidyverse (select(), filter(), mutate()).
  • Comparación práctica entre Base R y Tidyverse en velocidad y legibilidad.
  • Primeros ejercicios de limpieza de valores nulos y detección de outliers.

2. Herramientas del Tidyverse

  • Uso avanzado de dplyr para joins, agrupaciones y resúmenes.
  • Transformaciones con tidyr: pivot_longer(), pivot_wider(), y separación de columnas.
  • Manipulación de texto con stringr: patrones, sustituciones y tokenización.
  • Gestión de fechas y tiempos mediante lubridate: parsing, aritmética y zonas horarias.

3. Data.table: Rendimiento y Escalabilidad

  • Creación de data.table a partir de data frames y archivos externos.
  • Sintaxis de referencia por columnas y filas para operaciones ultra‑rápidas.
  • Implementación de joins y agregaciones en conjuntos de datos masivos.
  • Optimización de memoria y paralelismo para proyectos de big data.

4. Integración de Fuentes de Datos

  • Importación de archivos CSV, JSON y bases de datos SQL con readr y DBI.
  • Estrategias para combinar datos heterogéneos usando left_join(), inner_join(), y full_join().
  • Consolidación de APIs de redes sociales (Twitter, Facebook) mediante paquetes httr y jsonlite.
  • Creación de un flujo de trabajo reproducible con scripts modularizados.

5. Preparación para Modelado Predictivo

  • Generación de variables dummy y escalado de características.
  • División de datos en conjuntos de entrenamiento y prueba con caret.
  • Construcción de pipelines que conectan limpieza, transformación y modelado.
  • Evaluación de la calidad de los datos antes de entrenar modelos de Machine Learning.

6. Proyectos Prácticos de Fin de Curso

  • Análisis financiero: cálculo de retornos, series temporales y visualizaciones con ggplot2.
  • Sentiment analysis de tweets: extracción de texto, tokenización y clasificación básica.
  • Pipeline completo: desde la ingestión de datos hasta la predicción de un modelo de clasificación.
  • Presentación de resultados en reportes reproducibles usando R Markdown.

Who Should Take This Course

  • Students and self‑learners who want a solid foundation in data science with R.
  • Data analysts handling large datasets and needing automation for repetitive tasks.
  • Aspiring data scientists preparing for machine‑learning projects that require clean data.
  • Researchers and engineers who must integrate heterogeneous data sources for statistical studies.
  • Professionals transitioning to analytics roles and seeking a market‑ready R skill set.

Prerequisites

  • No prior experience needed — this course is beginner‑friendly.
  • Basic familiarity with programming concepts (variables, loops) is recommended but not required.
  • A computer with internet access and the ability to install R and RStudio.

Why Enroll in This Course

The Curso R Programming: Manipulación Avanzada de datos offers a comprehensive, hands‑on approach that few free Udemy courses match. A free coupon provides 100 % off for a limited time, letting you access premium content without financial risk. Updated for 2026, the curriculum reflects the latest best practices in data wrangling, ensuring you stay competitive in a data‑driven job market. Compared with other R tutorials, this course balances theory, performance‑focused tools, and real‑world projects, delivering immediate value for both beginners and seasoned analysts.

Course Highlights

  • Lifetime access to all video lessons, quizzes, and downloadable assets.
  • Self‑paced learning that lets you progress as quickly or slowly as you need.
  • Certificate of completion that can be added to LinkedIn or a résumé.
  • Mobile‑friendly interface, so you can study on a tablet or smartphone.
  • 30‑day money‑back guarantee for peace of mind if expectations are not met.
  • Practical projects that build a portfolio ready for job interviews.

Frequently Asked Questions

Q: Is this course really free?
A: Yes. By applying the available Udemy free coupon, you can enroll at 100 % off, giving you full access to all lectures, resources, and the completion certificate without paying a cent.

Q: What will I learn in this R programming course?

Affiliate link — we may earn a commission

Get on Udemy

Related Courses