Introduction to R Programming for Data Science
Completed by Christopher Wei Jian Pang
July 4, 2025
11 hours (approximately)
Christopher Wei Jian Pang'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: Integrated Development Environments
- Category: R (Software)
- Category: Programming Principles
- Category: Web Scraping
- Category: File I/O
- Category: Data Manipulation
- Category: Data Import/Export
- Category: Development Environment
- Category: Data Analysis
- Category: Jupyter
- Category: R Programming
- Category: Data Science
