# Learn R Programming - Mastery — From Basics to Data Science

> Mobile app for learning R programming, data science, statistics, and machine learning. (iPhone/iPad app by Shahbaz Khan.)

- Source: https://appshunter.io/ios/app/learn-r-programming-mastery/id1592088473 (this page in markdown: same URL + `.md`)
- Developer: [Shahbaz Khan](https://appshunter.io/developer/1479963383)
- Category: Education, Developer Tools
- Price: $1.99
- Rating: 1.00/5 from 1 App Store ratings
- Age rating: 9+
- Requires: iOS 17 · 173 MB
- Languages: American English
- Released: 2021-10-27
- Data updated: 2026-08-15
- Monetization: paid
- User reviews in markdown: https://appshunter.io/ios/app/learn-r-programming-mastery/id1592088473/reviews.md

## What is Learn R Programming?

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!

## Key features

- Core R syntax and programming concepts
- Tidyverse for data manipulation and visualization
- Machine learning algorithms and AI
- Web development with Shiny and APIs
- Integrated R code compiler
- AI-powered learning tools
- Domain-specific tracks


## Frequently asked questions about Learn R Programming

### What is the primary purpose of Learn R Programming - ML?

Learn R Programming - ML aims to teach users R programming, focusing on data science, statistics, and machine learning. It provides a comprehensive curriculum and tools to help users become proficient R developers.

### What programming concepts are covered in Learn R Programming - ML?

The app covers core R syntax, data types, control flow, functions, object-oriented programming, and functional programming. It also delves into performance optimization and secure coding practices.

### Does Learn R Programming - ML support machine learning and AI?

Yes, the app includes modules on machine learning algorithms like random forests, SVMs, and clustering, as well as deep learning with Keras and TensorFlow for R. It also covers NLP and reinforcement learning fundamentals.

### Can I run R code directly within Learn R Programming - ML?

Yes, the app features a built-in code compiler that allows you to write and execute R code instantly. This enables you to test code, build models, and debug functions without needing a separate laptop.

### What AI-powered learning features are included?

Learn R Programming - ML offers AI-powered Smart Flashcards that generate Q&A from lessons, Quiz Hints for assistance when stuck, Daily AI Tips for personalized coding advice, and Note Intelligence for summarizing notes.

### What is the price of Learn R Programming - ML?

Learn R Programming - ML is a paid app priced at $1.99. This one-time purchase grants access to all its features and learning content.

### What devices is Learn R Programming - ML compatible with?

The app is designed for iOS devices, including iPhone, iPad, and iPod. It requires iOS version 9+ and is optimized for these platforms.

### How frequently is Learn R Programming - ML updated?

The latest version of Learn R Programming - ML is 1.2.0, last updated on May 13, 2026. While this date is in the future, it suggests a commitment to ongoing development and updates.

## Version history (last 4 releases)

### 2.0.0 — 2026-07-18

Bug Fixess

### 1.2.0 — 2026-05-13

Bug Fixes...

### 1.0.1 — 2025-10-20

- Bug Fixes

### 1.0 — 2021-10-28

No release notes.

## Apps similar to Learn R Programming

| App | Rating | Price | Category |
| --- | --- | --- | --- |
| [Learn R Programming](https://appshunter.io/ios/app/learn-r-programming/id6478821041) | 4.8 (20) | Free | Education |
| [Learn R: Data Analysis & Code](https://appshunter.io/ios/app/learn-r-data-analysis-and-code/id6742056402) | 5.0 (1) | Free | Education |
| [Learn R Programming  PRO](https://appshunter.io/ios/app/learn-r-programming-pro/id6738941426) | — | $1.99 | Education |
| [Learn Data Science Tutorials](https://appshunter.io/ios/app/learn-data-science-tutorials/id6453023361) | 1.0 (1) | $1.99 | Education |
| [R Language Q&A](https://appshunter.io/ios/app/r-language-q-and-a/id1493058553) | — | $0.99 | Education |
| [Learn SEO And ASO Tutorials](https://appshunter.io/ios/app/learn-seo-and-aso-tutorials/id1599478250) | — | $1.99 | Education |

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All apps by Shahbaz Khan: https://appshunter.io/developer/1479963383

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-15.*