DataLeaRn

DataLeaRn


Master R Programming


$6.99

2.1for iPhone, iPad and more
SimTeCon GmbH
Developer
39 MB
Size
Jan 2, 2026
Update Date
Education
Category
Age Rating
4+
Apps in this category do not contain restricted content.
9+
Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.
12+
Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.
17+
You must be at least 17 years old to access this App.
Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

About DataLeaRn

DataLeaRn: Master R Programming & Data Analysis

Learn R programming and data analysis through hands-on tutorials designed for beginners and intermediate learners building data science skills.

What You Get

100 R Programming Units with 420+ interactive exercises (30 per unit) covering core topics from basic vectors to data processing. Each unit includes syntax-highlighted code examples and fill-in-the-blank practice exercises.

New:

* R Cheatsheet for fast lookup of core syntax and key concepts
* R Flashcards: 1200 focused cards across 12 learning units for rapid recall and daily review

Key Learning Modules:

* R Fundamentals: Vectors, matrices, data frames, lists
* Control Structures: Conditionals, loops, functions
* Data Processing: dplyr manipulation
* Visualization: ggplot2 charts
* Plus tutorials and study notes

App Features

* 100 R programming units covering core topics from basics to essentials
* Comprehensive lecture notes for each unit
* R cheatsheet – quick reference for syntax, patterns, and key concepts
* R flashcards – 1200 cards across 12 units for spaced repetition and fast review
* Daily coding challenge – one new challenge problem every day
* Applied project examples with practical applications
* 12 custom themes - personalize your interface
* Offline learning - practice without internet connection
* Progress tracking - monitor your advancement
* Responsive design - optimized for phones and tablets
* Haptic feedback - enhanced touch experience

14 Practical Projects

Build portfolio projects while learning: data cleaning with airquality dataset, visualizing iris data, A/B comparison analysis, correlation analysis, linear regression, decision trees, k-means clustering, and sentiment analysis.

Perfect For

* Aspiring data scientists
* Students learning R or statistics
* Self-taught learners
* Educators wanting project-based materials
* Professionals transitioning to data roles

Why DataLeaRn?

Get practical R skills from day one. Each 30-120 minute session provides applicable programming and analysis abilities. With offline access, custom themes, progress tracking, plus cheatsheets and flashcards for fast review, you have the tools needed to develop solid R foundations.

Start learning R programming today.
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What's New in the Latest Version 2.1

Last updated on Jan 2, 2026
Old Versions
* New R cheatsheet – quick reference for syntax, patterns, and key concepts
* New R flashcards – 1200 cards across 12 units for spaced repetition and fast review
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Version History
2.1
Jan 2, 2026
* New R cheatsheet – quick reference for syntax, patterns, and key concepts
* New R flashcards – 1200 cards across 12 units for spaced repetition and fast review

DataLeaRn FAQ

Click here to learn how to download DataLeaRn in restricted country or region.
Check the following list to see the minimum requirements of DataLeaRn.
iPhone
Requires iOS 15.1 or later.
iPad
Requires iPadOS 15.1 or later.
iPod touch
Requires iOS 15.1 or later.
DataLeaRn supports English

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