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Learn R Programming

Learn R from scratch with a free, interactive online course. Master the R programming language — vectors, data frames, functions, plotting, and basic statistics — through hands-on coding exercises and AI-assisted hints, and earn a free certificate when you finish.

START LEARNING(it's free)VIEW SYLLABUSTry in playground

15,136+ codders enrolled

This journey includes
  • AI-assisted coding help
  • Hands-on interactive lessons
  • Audio narration on every lesson
  • Quizzes to test your knowledge
  • Free certificate of completion
Skill levelBeginner friendly
Sections1
Projects2
Lessons78
Challenges68
Quiz questions434
CertificateIncluded

Syllabus

1 sections78 lessons68 challenges434 quiz questions
  1. 01Section 1

    Fundamentals

    Build a strong foundation with essential concepts and basic skills78 lessons68 challenges434 questions2 projects

    Introduction to R

    3 lessons216
    • 01What is R?ChallengeAudio
    • 02Hello WorldChallengeQuizAudio
    • 03Comments in RQuizAudio

    Variables and Data Types

    8 lessons656
    • 01Numeric Data TypeChallengeQuizAudio
    • 02Integer Data TypeQuizAudio
    • 03Character Data TypeChallengeQuizAudio
    • 04Logical Data TypeChallengeQuizAudio
    • 05Checking Data TypesChallengeQuizAudio
    • 06Naming ConventionsQuizAudio
    • 07Missing Values: NAChallengeQuizAudio
    • 08Recap - Variable CreationChallenge

    Operators Part 1

    5 lessons534
    • 01Arithmetic OperatorsChallengeQuizAudio
    • 02Integer Division and ModuloChallengeQuizAudio
    • 03Assignment OperatorsChallengeQuizAudio
    • 04Recap - Simple MathChallenge
    • 05Comparison OperatorsChallengeQuizAudio

    Operators Part 2

    5 lessons534
    • 01Logical Operators (AND, OR)ChallengeQuizAudio
    • 02Logical Operators Part 2 (NOT)ChallengeQuizAudio
    • 03Recap - Simple LogicChallenge
    • 04Vectorized Logic Part 1ChallengeQuizAudio
    • 05Vectorized Logic Part 2ChallengeQuizAudio

    Decision Making

    4 lessons426
    • 01If StatementChallengeQuizAudio
    • 02If - ElseChallengeQuizAudio
    • 03Recap - Simple CalculatorChallenge
    • 04Nested If - ElseChallengeQuizAudio

    Basic IO

    7 lessons741
    • 01Print OutputChallengeQuizAudio
    • 02Cat for OutputChallengeQuizAudio
    • 03Output With VariablesChallengeQuizAudio
    • 04Reading Input with readline()ChallengeQuizAudio
    • 05Type Conversion BasicsChallengeQuizAudio
    • 06Recap - Age CalculatorChallenge
    • 07Recap - True or FalseChallenge

    Bill Split Calculator

    Project5 lessons1
    • 01Welcome MessageChallenge
    • 02Getting User InputProject
    • 03Calculating The Tip And TotalProject
    • 04Splitting The BillProject
    • 05Formatted Output (sprintf)Project

    Loops

    8 lessons849
    • 01For LoopChallengeQuizAudio
    • 02While LoopChallengeQuizAudio
    • 03BreakChallengeQuizAudio
    • 04Next (Continue)ChallengeQuizAudio
    • 05Recap - FactorialChallenge
    • 06Sequence Generation (seq, :)ChallengeQuizAudio
    • 07Nested LoopsChallengeQuizAudio
    • 08Recap - Dynamic InputChallenge

    Functions

    6 lessons633
    • 01Declaring a FunctionChallengeQuizAudio
    • 02Function ArgumentsChallengeQuizAudio
    • 03Return ValuesChallengeQuizAudio
    • 04Recap - Sigma FunctionChallenge
    • 05Recap - Validation FunctionChallenge
    • 06Default Parameter ValuesChallengeQuizAudio

    FizzBuzz with a Twist

    Project4 lessons1
    • 01Game OverviewChallenge
    • 02The FizzBuzz FunctionProject
    • 03Looping Through NumbersProject
    • 04Adding The TwistProject

    Vectors

    7 lessons742
    • 01Creating Vectors with c()ChallengeQuizAudio
    • 02Accessing Vector ElementsChallengeQuizAudio
    • 03Modifying VectorsChallengeQuizAudio
    • 04Vector OperationsChallengeQuizAudio
    • 05Recap - Price VectorChallenge
    • 06Recap - Reversed VectorChallenge
    • 07Named VectorsChallengeQuizAudio

    Iterating Over Sequences

    4 lessons433
    • 01Iterating Over Vector ElementsChallengeQuizAudio
    • 02Using seq_along()ChallengeQuizAudio
    • 03Iterating Characters (strsplitChallengeQuizAudio
    • 04String Manipulation FunctionsChallengeQuizAudio

    Vectors Advanced

    4 lessons436
    • 01Vector Slicing and IndexingChallengeQuizAudio
    • 02Logical IndexingChallengeQuizAudio
    • 03Vector Arithmetic & RecyclingChallengeQuizAudio
    • 04The %in% OperatorChallengeQuizAudio

    Lists in R

    5 lessons534
    • 01Creating ListsChallengeQuizAudio
    • 02Accessing List ElementsChallengeQuizAudio
    • 03Modifying ListsChallengeQuizAudio
    • 04Named ListsChallengeQuizAudio
    • 05Recap - Product ListChallenge

    Final Challenges

    3 lessons3
    • 01Flat Asterisk PyramidChallenge
    • 02Pattern FinderChallenge
    • 03What To BuyChallenge
    START LEARNING

Why learn R with Coddy

  • Run real R code in your browser — no R install, no RStudio setup. Each lesson runs your R script server-side and shows the output, including printed values and basic plots, instantly.
  • Coverage of R as it's actually used for data: vectors and lists, data frames, indexing and filtering, functions, the apply family, basic statistics, and reading and summarizing data — the R foundations every analyst and data scientist needs.
  • AI-assisted hints help you fix R errors and read cryptic warning messages without spoiling the answer, so common stumbles like factor surprises and recycling rules become learning moments.
  • Free R programming certificate when you finish the course — a credible signal for analyst, data-science, and statistical-research roles where R fluency is a baseline expectation.

Frequently asked questions about learning R

Is R hard to learn?

R has a few quirks that throw newcomers — 1-based indexing, vectorized operations, factors — but the core is straightforward, especially for anyone who's worked with spreadsheets before. Coddy's course introduces R in small steps with hands-on exercises, so the quirks feel like features rather than traps.

What is R programming used for?

R is the lingua franca of statistics, data analysis, and academic research. It's heavily used in bioinformatics, econometrics, social sciences, finance, and any field where you need to load data, run statistical models, and produce charts. The package ecosystem around R (especially the tidyverse and ggplot2) is one of its biggest strengths.

How long does it take to learn R?

R basics — variables, vectors, data frames, basic plotting — take one to two weeks of daily practice. Becoming comfortable with data wrangling, statistical models, and ggplot2 usually takes one to three months. Domain depth (bioinformatics, finance, social science) is then layered on top through real projects.

Should I learn R or Python for data science?

Both work. R was built for statistics and stays unmatched for statistical modeling, academic work, and exploratory analysis. Python is the more general-purpose choice with stronger machine-learning and engineering ecosystems. Many data scientists know both and pick per task; if you're statistics-first, start with R.

Can I learn R online for free?

Yes. Coddy's interactive R course is free — full lessons, R coding exercises, quizzes, and a certificate. R runs server-side so you don't need to install R or RStudio locally to start writing code.

Do I get a certificate after the R course?

Yes — when you finish Coddy's R programming course you receive a free certificate of completion. It's a verifiable proof point you can add to your resume or share on LinkedIn alongside any analysis projects or notebooks you've built.

Learn R with Coddy

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