Introduction to R Programming for Data Science
Completed by Miranda Patricia Montenegro Lopez
July 28, 2024
11 hours (approximately)
Miranda Patricia Montenegro Lopez'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: Web Scraping
- Category: File I/O
- Category: Development Environment
- Category: Programming Principles
- Category: Integrated Development Environments
- Category: R (Software)
- Category: Data Structures
- Category: Data Analysis
- Category: R Programming
- Category: Jupyter
- Category: Data Manipulation
- Category: Data Science
