R Programming — Kirill Eremenko

Eremenko introduces R through its core data structures and practical data work. Vectors, matrices, loops, and packages provide foundations for later analysis. The course suits a newcomer who wants to understand the language’s behavior before relying on a large collection of statistical libraries.

What you will learn

• Work with vectors and matrices
• Use loops and introductory program structures
• Install and use packages for a data task

Who this suits

No prior programming experience is listed. Suitable for a beginner with a computer and a compatible R and RStudio setup. Basic numeracy helps you inspect whether an output makes sense.

Before you enroll

Software and package interfaces change. Match installation instructions to current supported releases, and check data types and missing values instead of assuming a successful command means a valid analysis. Statistical interpretation may require additional study.

Enrollment is paid through Udemy. A completion certificate follows Udemy's course terms; it does not confer a professional qualification. Check current pricing and access before enrolling.

Put it into practice

Import a small public dataset, summarize one variable, and draw a simple chart. Explain how missing values affect the result, then repeat the analysis after changing one filtering rule.

Source and review

This overview is based on the provider's published information, checked on 11 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Udemy.

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