Loose Leaf for Predictive Analytics for Business Strategy
Loose Leaf for Predictive Analytics for Business Strategy by Jeff Prince is published by McGraw-Hill Education and released on February 14, 2018. This edition spans 368 pages and is presented in English. The book is designed for courses that introduce students to econometrics and business analytics, focusing on how data can inform business strategy without delving into complex statistical models.
Readers will find that this book emphasizes the importance of critical thinking in the analysis process. Through engaging questions and practical applications, it aims to equip future managers with a foundational understanding of how analysis can lead to actionable insights. The content encourages students to evaluate the merit of various analyses, fostering a deeper comprehension of decision-making and problem-solving in the context of business and economics.
Official synopsis Publisher
Designed for courses that provide a conceptual and broad-based introduction to econometrics and business analytics, Predictive Analytics for Business Strategy, 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties. Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not.
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