- Programming Principles
- Data Import/Export
- Data Science
- R Programming
- Integrated Development Environments
- Exploratory Data Analysis
- Jupyter
- Data Analysis
- Data Structures
- Data Manipulation
- Web Scraping
Introduction to R Programming for Data Science
Completed by Gustavo Popovicz Caron dos Santos
February 13, 2023
11 hours (approximately)
Gustavo Popovicz Caron 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
