Udemybeginneres

Introducción al lenguaje R

Learn R programming! Master data analysis, statistics, and visualization with this R course. Perfect for beginners and data enthusiasts.

4.5(91)
4,625students
1h 56m
Fernando Vicente
Fernando VicenteDesarrollador freelance

Course Content

Introducción al lenguaje R is a beginner-level Udemy course taught by Fernando Vicente. It runs 1h 56m and is taught in Spanish. Learners rate it 4.5 out of 5 from 91 reviews, with 4,625 students enrolled. It is free to enroll, first published October 2022.

A foundational introduction to the R programming language – perfect for beginners! This workshop focuses on the core of R, building a strong understanding of the language itself, rather than getting bogged down in graphical user interfaces like RStudio or R Commander. We'll avoid external packages to concentrate on fundamental concepts.

What you'll learn:

  • Variables and Vectors: Master the essential building blocks of R data.
  • Function Programming: Learn to create reusable functions to streamline your code.
  • Code Documentation: Develop good coding practices with clear and concise documentation.
  • Conditional Statements: Control the flow of your programs with if statements.
  • Loops: Automate repetitive tasks using for and while loops.

This course provides a solid base for automating data analysis processes and expanding your R scripts with custom functions. We'll be focusing specifically on variables and vectors, without delving into the full range of R's data structures or external libraries.

Consider this a crucial first step! Based on student feedback, this introductory workshop serves as a springboard for more advanced R courses covering topics like:

  • Developing custom R packages
  • Integrating R with Python
  • Advanced R language techniques
  • Exploring specific R packages

While the full potential of R is vast, particularly its extensibility through packages and integration with languages like Python, this course provides a focused and effective introduction within the constraints of a two-hour free platform limit. Get ready to unlock the power of R!

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