Analytics Curriculum Coding for Data Analytics and AI Englisch · Taschenbuch

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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.