Introduction to R Programming for Data Science
Completed by JOYNER WONG YIN SZE
December 18, 2025
11 hours (approximately)
JOYNER WONG YIN SZE '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: Data Structures
- Category: Data Import/Export
- Category: Programming Principles
- Category: Integrated Development Environments
- Category: R (Software)
- Category: File I/O
- Category: Jupyter
- Category: Data Analysis
- Category: R Programming
- Category: Web Scraping
- Category: Data Science
- Category: Development Environment
