Catalog

Academic Textbooks

Modern, accessible, teach-ready textbooks for college courses in artificial intelligence, data analytics, business analytics, programming, SQL, and data communication.

Editions & Distribution

Kortext eText — Institutional digital edition with LMS integration, allowing faculty and students to access the textbook through Canvas and other supported learning management systems.

Other eText — Digital edition distributed through the IngramSpark distribution network for colleges, schools, bookstores, and other educational institutions that do not use the Kortext edition.

Print — Print edition available for course adoption and individual purchase. Click the ISBN to purchase.

For Faculty

Review copies of full text are available for faculty considering adoption. Resource packs for each book include quiz files, lecture slides, and code and data files and a curriculum map guide.

Request a Review Copy or Instructor Resources

Book Title & Description Best For ISBNs Preview
Book cover: Foundations of Data and Artificial Intelligence Foundations of Data and Artificial Intelligence

Foundations of data, machine learning, visualization, responsible AI, and effective use of AI tools.
AI Literacy · Data Science Foundations · General Education · Intro Data Science · Information Systems Kortext eText: 978-1-969233-56-2

Other eText: 978-1-969233-63-0

Print: 978-1-969233-57-9
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Book cover: Discovering Patterns in Data Discovering Patterns in Data

Practical methods for discovering patterns and relationships through data exploration, preprocessing, clustering, classification, and AI-enhanced analysis.
Data Mining · Applied Data Analytics · Business Analytics · Information Systems Kortext eText: 978-1-969233-58-6

Other eText: 978-1-969233-59-3

Print: 978-1-969233-60-9
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Book cover: Making Decisions with Business Analytics Making Decisions with Business Analytics

How organizations use data to understand performance, forecast outcomes, and make data-driven decisions.
Business Analytics · Data Analytics · Marketing Analytics · Business Intelligence · Decision Support Kortext eText: 978-1-969233-61-6

Other eText: 978-1-969233-62-3

Print: 978-1-969233-66-1
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Book cover: Preparing Data for Analytics and AI Preparing Data for Analytics and AI

Practical SQL, R, and Python skills for reproducible, automated, and AI-assisted data analysis, including cleaning, restructuring, and preparing data for AI.
Data Wrangling · Data Analytics · Information Systems Kortext eText: 978-1-969233-65-4

Other eText: 978-1-969233-64-7

Print: 978-1-969233-67-8
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Book cover: Machine Learning and Language AI Machine Learning and Language AI

Accessible introduction to machine learning, model evaluation, NLP, embeddings, sentiment analysis, and applied AI workflows.
Machine Learning · NLP · AI Foundations · Applied ML · Information Systems Analytics Kortext eText: 978-1-969233-73-9

Other eText: 978-1-969233-74-6

Print: 979-8-9909698-6-5
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Book cover: Coding for Data Analytics and AI Coding for Data Analytics and AI

Practical R and Python skills for reproducible, automated, and AI-assisted data analysis.
Programming for Data · R · Python · Data Analytics · Information Systems Kortext eText: 978-1-969233-86-9

Other eText: 978-1-969233-75-3

Print: 978-1-969233-76-0
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Book cover: Applying Artificial Intelligence (Forthcoming January 2027) Forthcoming January 2027

Applying Artificial Intelligence

Practical introduction to AI automation, copilots, APIs, analytics, and decision systems, with a focus on workflow improvement, data-driven decisions, and human-supervised AI.
Applied AI · Data Analytics · Information Systems · Digital Transformation Kortext eText: 978-1-969233-78-4

Other eText: 978-1-969233-68-5

Print: 978-1-969233-69-2
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Book cover: Communicating Data Insights (Forthcoming January 2027) Forthcoming January 2027

Communicating Data Insights

Data storytelling, visualization, dashboards, and communication of analytical findings to business audiences.
Data Visualization · Business Analytics · Marketing · Business Communication Kortext eText: 978-1-969233-70-8

Other eText: 978-1-969233-71-5

Print: 978-1-969233-72-2
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