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{ "item_title" : "AI and Data Literacy", "item_author" : [" Kimberly Seefeld "], "item_description" : "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 basicsTypes of data (structured and unstructured)Data lifecycle and data qualityData cleaning and metadataBasics of R programmingData storage formats (CSV, JSON, Parquet)Databases, cloud storage, and APIsIntroduction to machine learningSupervised and unsupervised learningHow AI learns from dataReal-world AI applicationsBasic statistics and data analysisData visualization and chartsOutlier detectionPrompt engineering basicsEvaluating AI outputsHuman and AI collaborationAI ethics and fairnessPrivacy and responsible AIAI risks like bias and misinformationHands-on labs and practical exercises", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/96/923/337/1969233370_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI and Data Literacy|Kimberly Seefeld

AI and Data Literacy

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Earliest ship date: November 4, 2026
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Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9781969233371
  • ISBN-10: 1969233370
  • Publisher: Datajoyai
  • Publish Date: June 2026
  • Dimensions: 10 x 7 x 0.59 inches
  • Shipping Weight: 1.09 pounds
  • Page Count: 282

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