R Academy

Name: R Academy
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RStatisticsDataAiBeginnerScripting

Unlock the power of data analysis and statistics with R Language Academy.

🤖 AI-Powered📚 43 courses👥 100,000+ learners⭐ 4.9 rating

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Course Overview

R: The Language Built for Data Analysis and Statistics

R is a programming language designed specifically for statistical computing, data analysis, and visualization. It is the standard tool in academic research, biostatistics, finance, and data science teams that need rigorous statistical methods. With packages like ggplot2, tidyverse, and tidymodels, R combines expressive data manipulation with publication-quality graphics and reproducible analysis workflows — making it a practical choice for anyone working seriously with data.

What You Will Learn

You will start with R fundamentals: data types, operators, control flow, functions, and working with matrices and sequences. From there you move into data wrangling with dplyr and tidyr, importing data via readr and readxl, and connecting to databases and REST APIs. Visualization is covered thoroughly — from base R graphics through ggplot2 and full exploratory data analysis. Advanced topics include functional programming with purrr, statistical analysis and probability, machine learning with tidymodels, random forests and gradient boosting, geospatial analysis, text mining with tidytext, building web apps with Shiny, creating APIs with Plumber, and deep learning with Keras in R.

The Learning Path

Forty-two courses span A1 through C1. The first twelve courses establish core R and RStudio fundamentals — data structures, string formatting, type coercion, sorting, and base R visualization. The B1 and B2 tiers build practical skills: web scraping with rvest, the Tidyverse, simulation, linear algebra, and production-ready reporting. The track closes at C1 with Performance and Profiling in R, Advanced Data Analysis, Parallel Computing, and Bayesian Statistics with RStan — topics that reflect real production and research use.

How It Works

Each course is split into short, hands-on lessons you complete in the built-in code editor with real-time feedback. An AI tutor is available whenever you get stuck, explaining errors and guiding you toward the correct solution without just giving away the answer.

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How You'll Learn

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Interactive Lessons

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Certificate

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Curriculum

43 Courses

Every course in the R Academy learning path.

Welcome to R

A13 lessons

Discover what R is, why scientists, analysts, and data teams worldwide rely on it, and what kinds of insights and visualisations you will p…

Introduction to R and RStudio

A13 lessonsPRO

This course introduces the R environment, RStudio interface, and the fundamentals of writing and running R code. It covers basic arithmetic…

R Operators and Expressions

A14 lessonsPRO

Master arithmetic, logical, and comparison operators in R with hands-on exercises to build solid foundational skills.

Sequences and Range Generation

A24 lessonsPRO

Generate numeric sequences and repeated values using R's built-in tools for data creation.

Matrices in R

A24 lessonsPRO

Create and manipulate two-dimensional matrix structures, the building block of numerical computing in R.

Missing Values: NA and NaN

A24 lessonsPRO

Understand how R handles missing data and learn reliable strategies for detecting and treating NAs.

Type Coercion and Conversion

A24 lessonsPRO

Navigate R's implicit and explicit type conversion rules to avoid common data type bugs.

Sorting, Ordering, and Ranking

A24 lessonsPRO

Rearrange vectors and data frames using R's sorting and ranking functions for data analysis tasks.

String Formatting in R

A24 lessonsPRO

Build, format, and display text output using paste(), sprintf(), and other R string tools.

Data Types and Structures

A23 lessonsPRO

In this course, you will explore the fundamental data types in R such as numeric, character, logical, and the common data structures like v…

Functions, Control Flow, and Debugging

A23 lessonsPRO

Learn to write custom functions, control the flow of your program with conditional statements and loops, and debug your code efficiently.

Working with Strings and Dates

A23 lessonsPRO

This course covers essential string operations and date/time manipulations in R, providing the skills to handle textual and temporal data a…

Data Visualization with Base R

A23 lessonsPRO

Master the fundamental plotting capabilities of base R to visualize data effectively. Topics include creating bar charts, histograms, scatt…

Basic Error Handling in R

B14 lessonsPRO

Write robust R code that gracefully handles errors, warnings, and messages using tryCatch and related tools.

R Environments and Scope

B14 lessonsPRO

Understand lexical scoping and R's environment system to write predictable, side-effect-free code.

R Script Organization

B14 lessonsPRO

Organize R code into maintainable scripts and projects using best practices for file structure and sourcing.

Advanced dplyr Techniques

B14 lessonsPRO

Go beyond basic data wrangling with grouped window functions, multi-table joins, and tidy evaluation in dplyr.

Data Reshaping with tidyr

B14 lessonsPRO

Transform messy wide data into tidy long format and back using tidyr's pivot functions and nesting tools.

Data Import with readr and readxl

B14 lessonsPRO

Read CSV, TSV, Excel, and fixed-width files efficiently into R with robust parsing and type inference.

Database Connections in R

B14 lessonsPRO

Query relational databases from R using DBI, RSQLite, and write SQL-style queries through dbplyr.

Web Scraping with rvest

B14 lessonsPRO

Extract structured data from HTML pages using rvest's CSS selector and XPath tools.

Simulation and Random Numbers

B14 lessonsPRO

Generate reproducible random samples and simulate statistical processes for data analysis and testing.

R with JSON and REST APIs

B14 lessonsPRO

Parse JSON responses, build HTTP requests, and integrate R workflows with external REST APIs.

Data Manipulation with R

B13 lessonsPRO

Learn how to import, clean, transform, and combine data from different sources using base R techniques. This course covers essential data w…

Data Visualization with ggplot2

B13 lessonsPRO

Expand your visualization skills with the ggplot2 package, building layered graphics and customizing them for powerful, publication-quality…

Tidyverse Basics

B13 lessonsPRO

Dive into the Tidyverse, a collection of R packages designed for data science. You will learn to use dplyr, tidyr, and other packages for s…

Exploratory Data Analysis

B13 lessonsPRO

Focus on techniques for summarizing, visualizing, and deriving insights from data sets. Learn best practices for quick data discovery and s…

Functional Programming with purrr

B24 lessonsPRO

Replace for-loops with elegant, composable functional programming patterns using purrr's map family.

Linear Algebra in R

B24 lessonsPRO

Perform matrix operations, solve linear systems, and compute eigenvalues using R's built-in linear algebra tools.

Statistical Analysis and Probability

B23 lessonsPRO

Build on basic statistics concepts to conduct hypothesis testing, explore distributions, and understand the fundamentals of probability in…

R for Production and Reporting

B23 lessonsPRO

Discover how to deploy R solutions into real-world environments using tools like R Markdown, Shiny, and Docker. Learn to create dynamic rep…

Machine Learning with tidymodels

B24 lessonsPRO

Build end-to-end ML workflows using the tidymodels ecosystem: recipes, parsnip, workflows, and tune.

Advanced Shiny Applications

B24 lessonsPRO

Build production-grade Shiny apps with modules, dynamic UI, reactive programming, and deployment strategies.

Building APIs with Plumber

B24 lessonsPRO

Turn R functions into REST API endpoints using Plumber, with authentication, routing, and production deployment.

Geospatial Analysis in R

B24 lessonsPRO

Manipulate spatial vector and raster data, perform spatial joins, and create interactive maps with R.

Text Mining with tidytext

B24 lessonsPRO

Apply NLP techniques to text corpora using tidytext: tokenization, TF-IDF, sentiment analysis, and topic modeling.

R Package Development

B24 lessonsPRO

Build, document, test, and publish your own R packages using devtools, roxygen2, and testthat.

Performance and Profiling in R

C14 lessonsPRO

Identify bottlenecks in R code and apply vectorization, benchmarking, and profiling techniques for speed.

Advanced Data Analysis

C13 lessonsPRO

Delve into more complex techniques like regression models, time series analysis, and machine learning fundamentals. Gain the skills to hand…

Random Forests and Gradient Boosting

C14 lessonsPRO

Build and tune ensemble models using ranger for random forests and xgboost for gradient boosting in R.

Deep Learning with Keras in R

C14 lessonsPRO

Train neural networks in R using the Keras API backed by TensorFlow for image and sequence tasks.

Parallel Computing in R

C14 lessonsPRO

Speed up R workflows with multicore parallelism using the parallel package, future framework, and furrr.

Bayesian Statistics with RStan

C14 lessonsPRO

Build and fit probabilistic models using Stan from R, interpreting posteriors and validating with MCMC diagnostics.

FAQ

Frequently Asked Questions

Is the R Academy course free?

Yes. You can start the R Academy course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn R?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior R experience.

How will I learn R on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing R Academy?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the R Academy course.

Can I learn R on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn R on any device and your progress syncs across them.

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