- Data Structures
- R Programming
- Web Scraping
- Data Science
- Data Analysis
- Jupyter
- Programming Principles
- Data Manipulation
- Exploratory Data Analysis
- Integrated Development Environments
- Data Import/Export
Introduction to R Programming for Data Science
Completed by Laura Beatriz Flores Henriquez
November 13, 2024
11 hours (approximately)
Laura Beatriz Flores Henriquez'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
