Introduction to R Programming for Data Science
Completed by Jeffrey Asubonteng
May 25, 2024
11 hours (approximately)
Jeffrey Asubonteng'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: Development Environment
- Category: Data Manipulation
- Category: Data Structures
- Category: File I/O
- Category: R (Software)
- Category: Programming Principles
- Category: Integrated Development Environments
- Category: Data Import/Export
- Category: Data Science
- Category: Jupyter
- Category: Data Analysis
- Category: R Programming
