Learn R Programming - ML
Éducation
1,99 $US · Conçue pour iPad
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!
Notes et avis
- Cette app n’a pas reçu suffisamment de notes ou d’avis pour en proposer un aperçu.
Bug Fixes...
Le développeur Shahbaz Khan a indiqué que les pratiques de l’app en matière de confidentialité peuvent inclure le traitement des données tel que décrit ci‑dessous. Pour en savoir plus, consultez la politique de confidentialité du développeur .
Données non collectées
Le développeur ne collecte aucune donnée avec cette app.
Accessibilité
Le développeur n’a pas encore indiqué quelles fonctionnalités d’accessibilité sont prises en charge par cette app. En savoir plus
Informations
- Fournisseur
- Shahbaz Khan
- Taille
- 168,3 Mo
- Catégorie
- Éducation
- Compatibilité
Nécessite iOS 17 ou version ultérieure.
- iPhone
Nécessite iOS 17 ou version ultérieure. - iPad
Nécessite iPadOS 17 ou version ultérieure. - Mac
Nécessite macOS 14.0 ou une version ultérieure et un Mac doté d’une puce Apple M1 ou une version ultérieure. - Apple Vision
Nécessite visionOS 1.0 ou version ultérieure.
- iPhone
- Langues
- Anglais
- Âge
9+
- 9+
- Copyright
- © Shahbaz Khan
