Introduction to R Programming for Data Science
Completed by Abigail Penelope Meekyung Lee
August 8, 2025
11 hours (approximately)
Abigail Penelope Meekyung Lee'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: R Programming
- Category: Development Environment
- Category: Data Manipulation
- Category: Jupyter
- Category: Web Scraping
- Category: File I/O
- Category: Data Structures
- Category: Data Science
- Category: Programming Principles
- Category: Data Import/Export
- Category: Data Analysis
- Category: Integrated Development Environments
