Overview

Master R programming and build real AI-powered data applications - no prior coding experience required. R Programming with AI is the complete beginner-to-practitioner guide for anyone who wants to learn R and apply it across data science, machine learning, and modern AI workflows. Written for 2026, this premium edition takes you from your very first line of R code to deploying a fully functional, AI-powered analytics dashboard. Author Thomas Scott brings over a decade of hands-on experience to a book that is practical above all else. Every concept is grounded in real code, real data, and real applications - not toy examples. WHAT YOU'LL LEARN: - R fundamentals: variables, data types, vectors, lists, data frames, and control flow - Working with the tidyverse: data cleaning with dplyr and beautiful visualizations with ggplot2 - Exploratory data analysis and statistical reasoning in R - Machine learning with caret and tidymodels: regression, classification, and feature engineering - Connecting R to AI APIs and working with large language models - Prompt engineering techniques for R-based AI workflows - Embeddings, semantic search, and Retrieval-Augmented Generation (RAG) - Building autonomous AI agents and automation workflows - Interactive dashboards with Shiny - Production deployment and best practices for real-world R applications - Full capstone project: a deployable AI-powered analytics dashboard WHY THIS BOOK: R was built by people who understood data - how it is collected, how it gets messy, and how to reason about it honestly. With over 20,000 packages on CRAN, exceptional statistical depth, and ggplot2's publication-quality visualizations, R remains the gold standard for data science and research. This 2026 Premium Edition adds complete coverage of the AI tools data professionals are using right now: prompt engineering, RAG, embeddings, and agent orchestration. Used by Google, Airbnb, the BBC, and thousands of research institutions worldwide, R is a career-defining skill - and this is the book that teaches it properly. Includes comprehensive appendices covering R syntax, dplyr, ggplot2, tidymodels, AI and ellmer integration, essential packages, a full glossary, common errors and fixes, and RStudio keyboard shortcuts. Perfect for: aspiring data scientists, analysts, researchers, students, and professionals who want to move beyond spreadsheets and into the world of intelligent, data-driven applications.

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