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Preparing Data for Analytics and AI - Analytics Curriculum

Preparing Data for Analytics and AI

By: Analytics Curriculum

Paperback | 15 September 2026

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Preparing Data for Analytics and AI teaches students how to clean, structure, and prepare realâ'world data using SQL, R, and Python. Learners develop practical skills in data profiling, handling messy values, joins and merges, filtering, derived fields, reshaping tables, and maintaining data quality at scale. The text emphasizes reproducible, automated, and AIâ'assisted workflows that transform raw data into reliable, analysisâ'ready datasets.

Designed for college courses and workforce programs, the book blends conceptual explanations with handsâ'on labs, real datasets, and guided exercises. Clear, accessible writing supports learners from any discipline and prepares them for modern analytics and AI pipelines.

Topics include SQL wrangling, data quality checks, metadata, restructuring, automation, R and Python prep workflows, and AIâ'assisted data cleaning. Instructor resources are available from the publisher.

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