Comparison

Learn R Programming vs Learn Cobol Programming Pro

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

Learn R Programming

Master R programming for data science, statistics, and machine learning on your mobile device. This app offers a comprehensive curriculum, an integrated code compiler, and AI-powered learning tools to help you become a job-ready R developer.

Highlights
  • 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
Features
Read full description

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!

About

Learn Cobol Programming Pro

Features
Read full description

# Learn Cobol Professional Learn COBOL programming step by step with organized lessons, knowledge quizzes, coding practice, and learning progress tracking. Learn Cobol Professional provides a structured learning experience for exploring COBOL fundamentals, understanding program structure, and studying important concepts used in business and enterprise programming. Whether you are discovering COBOL for the first time or reviewing core programming topics, the app helps you follow a clear learning path at your own pace. ## EXPLORE 10 COBOL CHAPTERS Build your knowledge through 10 organized chapters covering COBOL programming concepts. The learning content includes: • Introduction to COBOL • COBOL Program Structure • Data Types and Variables • Basic Operations and Control Flow • File Handling in COBOL • Data Structures Each chapter organizes related lessons and quiz questions to make learning easier to follow. ## LEARN WITH 80 STRUCTURED LESSONS Explore 80 lessons designed to introduce COBOL concepts in an organized sequence. Study topics including: • Why COBOL Is Still Used Today • COBOL in Business and Enterprise Systems • Structure of a COBOL Program ## REVIEW YOUR KNOWLEDGE WITH 82 QUIZZES Use 82 quiz questions to review programming concepts and reinforce your understanding. Quizzes are organized alongside learning content, helping you check your knowledge as you move through COBOL lessons. Use the built-in Code Editor to write, run, and experiment with code in supported programming languages. The editor includes: • A coding workspace • File management • Code execution and output • Multiple programming language options • Quick coding examples Explore examples such as Hello World, Fibonacci Series, Factorial Number, Calculator App, and List Operations. ## SEARCH LESSONS AND TOPICS Find relevant learning content using the built-in search feature. • Search lessons and topics • Browse learning categories • Explore popular topics • View available examples • Return to recent searches Find content about COBOL program structure, file handling, data types, variables, and other visible learning topics. ## TRACK YOUR LEARNING PROGRESS Follow your progress throughout your COBOL learning journey. View: • Completed lessons • Overall completion percentage • Chapter progress • Daily learning streak • Completion rate • Lessons in progress • Lessons not yet started Use the progress dashboard to see how far you have come and continue your learning routine. ## CREATE A DAILY LEARNING SCHEDULE Build a consistent study routine with the Learning Schedule feature. • Set your preferred study time • Choose a 15, 30, or 45-minute session, or 1 hour • Select repeat days • Enable study reminders • Save your schedule Plan your learning around your daily routine and receive reminders at your selected time. ## SAVE NOTES AND BOOKMARK LESSONS Keep useful information organized as you study. Use My Notes to save important points and bookmark lessons you want to revisit later. ## EXPLORE COMMUNITY HELP Browse programming questions, answers, and shared solutions. Discover popular questions, explore programming categories, and search for community discussions when you want additional explanations. ## PERSONALIZE YOUR LEARNING EXPERIENCE Adjust the app to suit your preferences. Available settings include: • Light and dark appearance • App language preferences • Adjustable text size • Notification settings • Learning schedule • Bookmarked lessons • Saved notes ## WHY LEARN COBOL PROFESSIONAL? • 10 organized COBOL chapters • 80 structured lessons • 82 quiz questions • COBOL fundamentals and program structure • Data types, variables, and file handling topics • Built-in multi-language code editor • Quick programming examples • Lesson and topic search • Progress and daily streak tracking • Learning schedules and reminders • Notes and bookmarked lessons • Community programming questions

Screenshots

Learn R Programming4 screens
Learn Cobol Programming Pro4 screens

Verdict

The call

The clearest difference is price: Learn R Programming at $1.99 against Learn Cobol Programming Pro's $2.99. Learn Cobol Programming Pro's advantage is iOS requirement (15.6 vs 17). On update cadence, ads, in-app purchases and device support there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Learn R Programming costs $1.99 and Learn Cobol Programming Pro $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

Learn R Programming ships an update every 7 months, Learn Cobol Programming Pro every 10 months. The most recent releases landed on October 6, 2026 and October 24, 2026 respectively.

Scorecard2 real differences · 7 level
Learn R Programming versus Learn Cobol Programming Pro: the parameters behind the verdict, then further details
ParameterLearn R ProgrammingLearn Cobol Programming Pro
Price$1.99 — better$2.99
Rating1.0 (1 ratings) — better—
Number of ratings1 — better—
Update frequencyEvery 7 months — betterEvery 10 months
AdsNoNo
In-app purchasesNoNo
MonetizationPaid—
DevicesiPhone, iPadiPhone, iPad, iPod — better
Requires iOS1715.6 — better
Further details — not scored
Size173 MB75 MB
Age rating9+17+
DeveloperShahbaz KhanMuhammad Umair

In-app purchases

None

Learn R Programming

No in-app purchases

None

Learn Cobol Programming Pro

No in-app purchases

Questions

Is Learn R Programming free?
Learn R Programming costs $1.99, with no in-app purchases.
Is Learn Cobol Programming Pro free?
Learn Cobol Programming Pro costs $2.99, with no in-app purchases.
Do Learn R Programming or Learn Cobol Programming Pro have ads?
Neither Learn R Programming nor Learn Cobol Programming Pro shows ads.
Which is updated more often, Learn R Programming or Learn Cobol Programming Pro?
Learn R Programming ships an update every 7 months, and Learn Cobol Programming Pro every 10 months. Most recently, Learn R Programming was updated on October 6, 2026 and Learn Cobol Programming Pro on October 24, 2026.

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