Introductory R for Novices: Getting Started with R
When: March 10, 2026 - March 24, 2026Share
About this Course
Description
This lesson will serve as a general introduction to R and RStudio. Attendees will explore the RStudio interactive development environment (IDE) and get started with R programming.
This lesson will serve as a general introduction to R and RStudio. Attendees will explore the RStudio interactive development environment (IDE) and get started with R programming.
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Where
OnlineDescription
In this lesson, attendees will learn the most basic features of the R programming language. The focus will be on R syntax, R objects, and data types.
In this lesson, attendees will learn the most basic features of the R programming language. The focus will be on R syntax, R objects, and data types.
Register
Where
OnlineDescription
In this lesson, attendees will continue to learn basic features of the R programming language. The focus of this lesson will be vectors, one of the most common object types in R. You will learn why vectors are useful and how to create, modify, and export vectors.
In this lesson, attendees will continue to learn basic features of the R programming language. The focus of this lesson will be vectors, one of the most common object types in R. You will learn why vectors are useful and how to create, modify, and export vectors.
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Where
OnlineDescription
This lesson will introduce data structures including data frames and show attendees how to import data into the R environment.
This lesson will introduce data structures including data frames and show attendees how to import data into the R environment.
Register
Where
OnlineDescription
This is the last lesson in Part 1 of Introductory R for Novices: Getting Started with R. This lesson will focus exclusively on working with data frames. Attendees will learn how to examine, summarize, and access data in data frames.
This is the last lesson in Part 1 of Introductory R for Novices: Getting Started with R. This lesson will focus exclusively on working with data frames. Attendees will learn how to examine, summarize, and access data in data frames.