AI and Data Literacy: Student Edition - Softcover

Inhaltsangabe

AI and Data Literacy: Student Edition is a comprehensive textbook designed for college-level courses in data analytics, statistics, and artificial intelligence. The text integrates conceptual foundations with hands-on learning through applied labs, real-world datasets, and guided exercises.Intended for full-semester academic use, this edition supports students and instructors in developing practical AI and data literacy skills. Full teaching resources are available from the publisher (www.datajoyai.com). Introduction to data and AI basics Types of data (structured and unstructured) Data lifecycle and data quality Data cleaning and metadata Basics of R programming Data storage formats (CSV, JSON, Parquet) Databases, cloud storage, and APIs Introduction to machine learning Supervised and unsupervised learning How AI learns from data Real-world AI applications Basic statistics and data analysis Data visualization and charts Outlier detection Prompt engineering basics Evaluating AI outputs Human and AI collaboration AI ethics and fairness Privacy and responsible AI AI risks like bias and misinformation Hands-on labs and practical exercises

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