Foundations of R Programming

Learn R the right way—built for researchers, students, and data beginners. This course is part of R for Research Professional Certificate

duration

0
modules

4 hrs 11mins

Self-paced

flexible schedule

level

Beginner Level

duration

0
modules

4 hrs 11mins

Foundations of R Programming

About

R is one of the most important programming languages in academia and the pharmaceutical industry. Built by academics, for academics, R has always been closely tied to statistics, research, and evidence-driven discovery. Its terminology and structure reflect the language of science itself, making it an essential tool for anyone looking to succeed in research or data-intensive fields.

Every strong researcher begins with the basics. Foundations of R Programming is your entry point into the world of R. This programme introduces you to the fundamentals of R, including data types, data structures, functions, packages, simulations, and variables. You won’t just learn to code—you’ll learn how to think about research problems through the lens of computation and analysis.

Over the course of this programme, you’ll gain hands-on experience that helps you build a solid foundation for more advanced stages of the R for Research series. Whether you’re a student preparing for graduate school, a researcher looking to add rigor to your analysis, or a professional transitioning into data-driven work, this programme provides you with the essential tools to start your journey.

With expert guidance, practical exercises, and real-world applications, you will leave this programme with both the confidence and skills to continue to R for Research II, where you’ll begin importing and managing complex datasets from the outside world.

Foundations of R Programming is where your coding and research journey begins.

About image

What you'll learn

Install and set up R and RStudio for research-ready workflows.

Understand and work with fundamental data structures (vectors, data frames, lists).

Simulate datasets and explore patterns for deeper understanding.

Learn to apply descriptive statistics to summarize and communicate insights.

Work confidently with variables, operators, and core data types.

Build and apply custom functions to streamline analysis.

Requirements

  • A laptop or desktop computer (Windows, macOS, or Linux).
  • Stable internet connection.
  • Ability to install software (R and RStudio).
  • Basic computer literacy.
  • Curiosity and willingness to learn—no prior coding experience required.

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The foundational approach to the training was topnotch

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Address:

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Contact:

+4591619583, +2348149211558

contact@eustudyassist.com

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© 2025 EUStudyAssist. All rights reserved.