Introduction to R Programming for Data Science
Completed by Katherine Lucia Calvo Vargas
July 10, 2025
11 hours (approximately)
Katherine Lucia Calvo Vargas'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: Development Environment
- Category: Data Manipulation
- Category: Data Import/Export
- Category: Data Structures
- Category: Programming Principles
- Category: Integrated Development Environments
- Category: File I/O
- Category: R (Software)
- Category: Data Analysis
- Category: R Programming
- Category: Web Scraping
- Category: Data Science
