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hands-on lab

Fundamentals of R

Difficulty: Beginner
Duration: Up to 8 hours
Students: 1,466
You can pause this lab for up to 4h
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On average, students complete this lab in20m
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
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Description

R is a free, open-source environment and language for statistical computing and graphics. R is a valuable tool for data scientists and statisticians having been developed by academics over several decades. R packages are readily available for every common data analysis algorithm making it easy to experiment with. However, to get the most out of R you must learn the fundamentals.

This Lab includes several modules for you to work through to cement your R fundamentals proficiency. You will use a virtual machine that has RStudio, the premiere integrated development environment (IDE) for R. installed for you.

Learning Objectives

Upon completion of this Lab you will be able to:

  • Develop R code using RStudio
  • Work with data and data structures in R
  • Reuse code by creating functions
  • Implement branching logic with conditional statements
  • Use inputs and outputs in your R code
  • Plot data using R

Intended Audience

This Lab is intended for:

  • Anyone interested in getting started with R
  • Data scientists
  • Data engineers
  • Statisticians

Prerequisites

It is highly recommended to complete the courses in the Fundamentals of R learning path before attempting this lab.

Updates

July 24th, 2025 - Updated Public IP Sku

June 24th, 2020 - Enabled direct browser RDP connection for a streamlined experience

Hands-on Lab UUID

Lab steps

Starting the Fundamentals of R Lab Modules

Lab Rules