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Indigo Principles of Business Analytics: How to Use Data to Make Responsible Business Decisions | Erin Mills Town Centre
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Understand how to use analytics in situations where data is incomplete, problems are rarely well-defined and decisions are shaped by time pressure, competing priorities and uncertain evidence.
Principles of Business Analytics by Tharwat Khalil is a foundational core textbook for upper-level undergraduates who need to understand how to approach and interpret data in real-world situations to make responsible business decisions. Each chapter begins with a problem, introduces the analytical concept in that context, works through an example, moves to interpretation and recommendation, and reflects on what the analysis could and could not resolve. By taking a concept-first approach to analytics, this textbook prepares students to apply their critical thinking skills to a variety of software programs in their future careers, from R, Python, Excel and PowerBI to technology not yet developed.
This textbook:
- Explores how students can move from understanding a business problem to interpreting an often incomplete dataset in order to make decisions
- Considers the importance of bias, fairness and accountability
- Addresses contemporary issues impacting business analytics including AI, ethics and governance
- Features real-world examples and datasets from healthcare, retail, banking, recruitment and financial services
- Challenges students to understand how flawed conclusions and analytical errors arise
With in-text pedagogical features including learning outcomes, chapter outlines, 'stop and think' boxes and reflective questions and activities, Principles of Business Analytics will prepare students to make responsible judgements when using data in their future careers.
Understand how to use analytics in situations where data is incomplete, problems are rarely well-defined and decisions are shaped by time pressure, competing priorities and uncertain evidence.
Principles of Business Analytics by Tharwat Khalil is a foundational core textbook for upper-level undergraduates who need to understand how to approach and interpret data in real-world situations to make responsible business decisions. Each chapter begins with a problem, introduces the analytical concept in that context, works through an example, moves to interpretation and recommendation, and reflects on what the analysis could and could not resolve. By taking a concept-first approach to analytics, this textbook prepares students to apply their critical thinking skills to a variety of software programs in their future careers, from R, Python, Excel and PowerBI to technology not yet developed.
This textbook:
- Explores how students can move from understanding a business problem to interpreting an often incomplete dataset in order to make decisions
- Considers the importance of bias, fairness and accountability
- Addresses contemporary issues impacting business analytics including AI, ethics and governance
- Features real-world examples and datasets from healthcare, retail, banking, recruitment and financial services
- Challenges students to understand how flawed conclusions and analytical errors arise
With in-text pedagogical features including learning outcomes, chapter outlines, 'stop and think' boxes and reflective questions and activities, Principles of Business Analytics will prepare students to make responsible judgements when using data in their future careers.
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