Learn R Programming vs Learn R

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!

Learn R from scratch — no experience needed. Bite-sized R lessons, a real code editor on your phone, and an AI mentor that answers your questions in seconds. Built for complete beginners, students and career switchers. WHY LEARN R? • R is an in-demand skill — a strong addition to any resume • Learn by doing: every lesson mixes short theory with hands-on practice • Build real foundations you can use in projects, work and interviews • Start from zero — every concept is explained in plain language WHAT YOU'LL LEARN • R fundamentals — the core concepts, step by step • The essential building blocks used in real-world R work • Practical techniques you can apply right away • Common mistakes — and how to avoid them • Hands-on exercises after every topic • Advanced topics to keep growing beyond the basics EVERYTHING YOU NEED TO LEARN R • AI Mentor — stuck on a concept or an error? Ask anything and get a clear answer in seconds • 100+ bite-sized lessons (5–10 minutes each) — built for real life, not lecture halls • Real code editor — write and run R code right on your phone • Quizzes and coding challenges after every topic to lock in what you learn • Weekly Code Challenge — compete with learners around the world • Certificate of completion — pass the final exam and prove your skills • Streaks, progress tracking and smart reminders to keep you consistent • Learn on the go — lessons load fast and keep working on flaky connections • App available in 22 languages WHO IT'S FOR • Complete beginners taking their first steps • Students who want extra practice alongside classes • Career switchers building job-ready skills • Anyone curious about R Part of CoddyKit — a family of 40+ coding apps trusted by 100,000+ learners worldwide. Free to start: your first course is free, with a daily AI Mentor allowance. Pro unlocks every course, removes ads and gives you unlimited AI Mentor. Download Learn R: Data Analysis & Code and write your first line of R today. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://www.coddykit.com/terms/privacy-policy