Introduction to R Programming for Data Science
Completed by Dinakar Srinivas Murthy Karra
February 15, 2024
11 hours (approximately)
Dinakar Srinivas Murthy Karra'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: Programming Principles
- Category: Integrated Development Environments
- Category: R (Software)
- Category: Data Manipulation
- Category: Data Science
- Category: Data Structures
- Category: Jupyter
- Category: Data Analysis
- Category: R Programming
- Category: File I/O
- Category: Development Environment
- Category: Web Scraping
