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Introduction to Business Analytics is an accessible, hands-on textbook that introduces students or independent learners 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. Resources are available at www.datajoyai.com. 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.
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Introduction to Business Analytics (Paperback or Softback)
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Datajoyai 6/25/2026, 2026
ISBN 10: 1969233400
ISBN 13: 9781969233401
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Introduction to Business Analytics
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Introduction to Business Analytics (Paperback)
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Paperback. Zustand: new. Paperback. Introduction to Business Analytics is an accessible, hands-on textbook that introduces students or independent learners 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. Resources are available at 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. A practical text that teaches students how to use data, analytics, and AI to make better decisions. Covers descriptive, diagnostic, predictive, and prescriptive analytics with real-world examples, hands-on labs, and business applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781969233401
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Introduction to Business Analytics (Paperback)
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Paperback. Zustand: new. Paperback. Introduction to Business Analytics is an accessible, hands-on textbook that introduces students or independent learners 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. Resources are available at 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. A practical text that teaches students how to use data, analytics, and AI to make better decisions. Covers descriptive, diagnostic, predictive, and prescriptive analytics with real-world examples, hands-on labs, and business applications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781969233401
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Introduction to Business Analytics (Paperback)
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Paperback. Zustand: new. Paperback. Introduction to Business Analytics is an accessible, hands-on textbook that introduces students or independent learners 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. Resources are available at 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. A practical text that teaches students how to use data, analytics, and AI to make better decisions. Covers descriptive, diagnostic, predictive, and prescriptive analytics with real-world examples, hands-on labs, and business applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781969233401
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Introduction to Business Analytics
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