Learn R Programming - ML

Master R Programming from zero to hero with 100+ interactive lessons, real-time AI help, and progress tracking. Perfect for beginners, data analysts, and students.

Learn R Programming: Data Science, Statistics & Machine Learning — All in One App. Master the language that powers the world's top data scientists, biostatisticians, and quantitative analysts. Whether you're a complete beginner or advancing your career, Learn R takes you from your first line of code to building production-ready machine learning models — entirely on your iPhone or iPad.

Why Learn R? R is the gold standard for statistical computing, data analysis, and academic research. Used by Harvard, MIT, Pfizer, and the FDA, R opens doors to careers in data science, bioinformatics, finance, geospatial analysis, and AI.

Core R Programming:

• R syntax, data types, vectors, matrices, data frames, and lists
• Control flow, loops, functions, and object-oriented programming
• Functional programming with purrr and the apply family
• Performance optimization, profiling, and Rcpp integration
• Secure coding best practices and memory management

Tidyverse & Data Wrangling:

• dplyr for lightning-fast data manipulation
• ggplot2 for publication-quality visualizations
• tidyr, readr, stringr, forcats, and tibble
• Modern data pipelines with the pipe operator

Data Science & Statistics:

• Descriptive and inferential statistics
• Hypothesis testing, regression, ANOVA, and probability
• End-to-end data science workflows
• Exploratory data analysis and data cleaning

Machine Learning & AI: -caret, tidymodels, random forests, SVMs, and clustering

• Deep learning with Keras, TensorFlow, and Torch for R
• Natural language processing (NLP) and text mining
• Time series forecasting with ARIMA and Prophet
• Reinforcement learning fundamentals
• Big data with data.table and sparklyr

Web, APIs & Deployment:

• Build interactive dashboards with Shiny and shinydashboard
• Create REST APIs with Plumber
• Web scraping with rvest and httr
• Quarto for reports, presentations, and books
• Database integration (MySQL, PostgreSQL, MongoDB, SQLite)

Domain-Specific Tracks:

• Bioinformatics: Bioconductor, genomic data, sequence analysis
• Finance: Quantitative analysis, portfolio modeling, risk management
• GIS & Spatial: sf, raster, leaflet, and geospatial mapping

Career & Ecosystem:

• Career paths: data scientist, biostatistician, quant analyst, researcher
• Package development and publishing to CRAN
• Reproducible research with renv and containers
• Git & GitHub for version control
• Complementary skills: Python, SQL, Julia, Docker

Run Real R Code Anywhere: Our built-in code compiler lets you write and execute R code instantly. Test dplyr pipelines, plot with ggplot2, build regression models, and debug functions — no laptop required.

AI-Powered Learning :

• Smart Flashcards:AI generates Q&A flashcards from any lesson
• Quiz Hints: Progressive Socratic hints when you're stuck
• Daily AI Tips: Personalized coding tips every morning
• Note Intelligence: Summarize and simplify your notes instantly

Quick-Reference Cheat Sheets: 10+ searchable cheat sheets covering R basics, data structures, dplyr, ggplot2, statistics, machine learning, and best practices — always one tap away.

Structured for Retention:

• Bite-sized lessons designed for mobile
• Daily streaks and progress tracking
• Bookmark lessons and create personal notes
• Offline access to all content

Learn R Programming today to start your R coding journey: master R data analysis, ggplot2, dplyr, and every R skill you need!