Introduction to R Programming for Data Science
Completed by Viviana Andrea Saenz Galvis
June 28, 2026
11 hours (approximately)
Viviana Andrea Saenz Galvis's account is verified. Coursera certifies their successful completion of Introduction to R Programming for Data Science
What you will learn
Manipulate primitive data types in the R programming language using RStudio or Jupyter Notebooks.
Control program flow with conditions and loops, write functions, perform character string operations, write regular expressions, handle errors.
Construct and manipulate R data structures, including vectors, factors, lists, and data frames.
Read, write, and save data files and scrape web pages using R.
Skills you will gain
- Category: Programming Principles
- Category: Data Structures
- Category: Data Import/Export
- Category: Integrated Development Environments
- Category: R (Software)
- Category: Development Environment
- Category: Data Manipulation
- Category: File I/O
- Category: Data Analysis
- Category: R Programming
- Category: Jupyter
- Category: Data Science
