Business Analytics, Data Science, and AI: A Managerial Approach, 6th edition

Published by Pearson (February 3, 2026) © 2027

  • Ramesh Sharda Oklahoma State University
  • Dursun Delen Oklahoma State University
  • Efraim Turban Oklahoma State University , University of Hawaii

eTextbook on Pearson+

ISBN-13: 9780135437698 (2026 update)

In this eTextbook — More ways to learn

  • More support. Get AI help with personalized summaries, instant explanations, and quick translations.
  • More flexible. Start learning right away, on any device.
  • More interactive. Learn through audio, video, and practice.
  • More memorable. Study better with notes, highlights, and flashcards.

eTextbook access on Pearson+

ISBN-13: 9780135437698 (2026 update)

In this eTextbook — More ways to learn

  • More support. Get AI help with personalized summaries, instant explanations, and quick translations.
  • More flexible. Start learning right away, on any device.
  • More interactive. Learn through audio, video, and practice.
  • More memorable. Study better with notes, highlights, and flashcards.
Products list

Access details

  • Pearson+ eTextbook with study tools
  • Instant access once purchased
  • Register with a Course ID, a link from your instructor or an LMS link (Blackboard™, Canvas™, Moodle or D2L®)

Features

  • Interactive digital learning experience
  • Help when and where you need it
  • Instant feedback on assignments
  • Apps and study tools
Products list

Details

  • A print edition you can rent
  • Fulfilled by eCampus.com
  • Option to keep after rental expires

Title overview

Business Analytics, Data Science and AI: A Managerial Approach provides a complete guide to understanding and applying the technologies that drive business today. The text introduces the essentials of descriptive, predictive and prescriptive analytics as used in the business world. Vignettes and cases illustrate the real-world capabilities and costs of data science and analytics, as well as the latest advances in AI.

The 6th Edition offers coverage of emerging components of modern-day business decision systems such as deep learning, robotics, agentic AI and more. Other topics receiving fresh coverage include analytics applications in the gaming industry as well as geospatial and cloud-based analytics.

Table of contents

  1. An Overview of Business Analytics, Data Science and AI
  2. Artificial Intelligence Concepts, Drivers, Major Technologies and Business Applications
  3. Descriptive Analytics 1: Nature of Data, Big Data and Statistical Modeling
  4. Descriptive Analytics 2: Business Intelligence Data Warehousing, and Visualization
  5. Predictive Analytics I: Data Mining Process, Methods and Algorithms
  6. Predictive Analytics II: Text, Web and Social Media Analytics
  7. Deep Learning and Cognitive Computing
  8. Prescriptive Analytics: Optimization and Simulation
  9. Landscape of Business Analytics Tools
  10. AI-Based Trends in Analytics and Data Science
  11. Ethical, Privacy and Managerial Considerations in Analytics

Need help?Get in touch