Introduction to R Programming for Data Science
Completed by Vinicius Pereira Dos Santos
April 9, 2024
11 hours (approximately)
Vinicius Pereira Dos Santos'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: File I/O
- Category: Data Import/Export
- Category: Data Analysis
- Category: R Programming
- Category: Development Environment
- Category: Data Manipulation
- Category: Web Scraping
- Category: Jupyter
- Category: Integrated Development Environments
- Category: R (Software)
- Category: Programming Principles
- Category: Data Science
