Description:

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.

Key Highlights:

• 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.