R Programming is a popular programming language and environment for statistical computing and graphics. This course provides a comprehensive introduction to R programming, covering essential concepts and practical applications.
- Data types and structures in R programming
- Working with functions and packages
- Data visualization and graphics
- Data manipulation and analysis
- Statistical modeling and hypothesis testing
What you will learn:
- Data types and structures:
Learn about vectors, matrices, lists, and data frames, and how to manipulate and analyze data using these structures.
- Functions and packages:
Discover how to create and use functions, as well as how to install and utilize packages for additional functionality.
- Data visualization and graphics:
Explore various techniques for visually representing data, including creating plots and charts using R's powerful graphics capabilities.
- Data manipulation and analysis:
Learn how to filter, sort, and transform data, as well as perform statistical calculations and summaries.
- Statistical modeling and hypothesis testing:
Understand how to apply statistical models, perform hypothesis tests, and interpret the results using R.