Introduction to Business Analytics | Student Edition

Kimberly Seefeld

ISBN 10: 1969233400 / ISBN 13: 9781969233401

Published by DataJoyAI, 2026

About this Item

Introduction to Business Analytics | Student Edition | Kimberly Seefeld | Taschenbuch | Englisch | 2026 | DataJoyAI | EAN 9781969233401 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 135851082

Bibliographic Details

• Title: Introduction to Business Analytics | Student Edition
• Publisher: DataJoyAI
• Publication Date: 2026
• Language: English
• ISBN 10: 1969233400
• ISBN 13: 9781969233401
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 11D millimeters 254 millimeters width by 178 millimeters height by 11 millimeters depth
• Weight: 373 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Introduction to Business Analytics: Student Edition is an accessible, hands-on textbook that introduces students to the concepts, tools, and decision-making processes that drive modern organizations. Written for introductory business analytics, data analytics, and AI literacy courses, the book focuses on practical applications rather than advanced mathematics or programming.

Students explore the four major types of analytics-descriptive, diagnostic, predictive, and prescriptive-and learn how organizations use data to improve operations, understand customers, forecast outcomes, and support strategic decisions. Topics include key performance indicators (KPIs), dashboards, data visualization, trend analysis, root cause analysis, forecasting, predictive modeling, classification, artificial intelligence, business communication, and data-driven decision-making.

Real-world examples from companies such as Amazon, Netflix, Starbucks, and Walmart demonstrate how analytics creates business value. Hands-on labs and practical exercises help learners apply concepts using realistic business scenarios and modern analytics tools.

Designed for community college, undergraduate, workforce training, and business students, this text provides a foundation for future study in business analytics, data science, artificial intelligence, and applied analytics.