R Programming courses and tutorials

R provides language tools for working with data and statistical methods. Vectors, matrices, and types form an important foundation. A successful command does not establish that the inputs or interpretation are appropriate for the question.

Choose a useful starting point

Check R and editor setup requirements. Choose small exercises with data inspection before advanced packages. Statistical conclusions need additional reasoning about assumptions, missing values, and the source of the observations.

Build on the lessons

Import public data, summarize one variable, and chart it. Explain missing-value handling, then change a filtering rule and compare how the result and interpretation change.

Explore related topics

• Statistics and Probability courses and tutorials
• Data Analysis courses and tutorials
• Python courses and tutorials