Coding for Data Analytics and AI introduces students to the practical coding skills required for modern data work. Learners develop foundational R and Python skills, including data structures, functions, libraries, debugging, and reproducible workflows. The text emphasizes automation, reliability, and AI-assisted coding techniques that support efficient, repeatable analysis.
Designed for college courses and workforce programs, the book blends conceptual explanations with hands-on labs, real datasets, and guided exercises. Clear, accessible writing supports learners with no prior programming experience and prepares them for data analytics, information systems, and AI-driven workflows.
Topics include R and Python fundamentals, scripting for reproducibility, automation, debugging strategies, library use, AI-assisted coding, and practical data analysis workflows. Instructor resources are available from the publisher.
