Data Science for Business: What You Need to Know About Data Mining by Foster Provost - Non Fiction - Paperback
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Title:
Data Science for Business: What you need to know about data mining and data-analytic thinking
Condition: BRAND NEW
Format: Paperback
Overview:
Data Science for Business is a definitive, accessible primer that introduces the core ideas behind data science and shows how data-analytic thinking can drive practical business value. Written by two of the field’s most respected voices, Foster Provost and Tom Fawcett, this paperback guides readers through the fundamental principles that underpin successful data-driven decision-making. Based on Provost’s widely taught MBA course at New York University, the book grounds theory in real-world business problems, illustrating how data mining techniques translate into tangible outcomes for organisations across sectors. Whether you’re a manager seeking to collaborate more effectively with data scientists, a professional aiming to contribute to analytics projects, or a student exploring how numbers inform strategy, this book offers clear explanations, useful frameworks, and practical insights. You’ll learn to frame questions in data terms, interpret models with business context, and communicate findings with stakeholders in non-technical language. By the end, you’ll see why data science is not just a toolkit but a decision-support mindset that can shape strategy, risk management, and competitive advantage.
What Makes This Book Stand Out:
This book stands out for its uniquely business-centric approach to data science. Provost and Fawcett demystify data mining and modelling with straightforward language, vivid examples, and a focus on decision-making rather than equations. The emphasis on data-analytic thinking — a disciplined way of asking the right questions, framing hypotheses, and evaluating outcomes — equips readers to engage confidently in analytics conversations, even if they’re not hands-on programmers. Across chapters, the authors weave practical frameworks that help you map data capabilities to business goals, assess risks, and avoid common pitfalls such as over-reliance on a single metric. The real-world case-style narratives demonstrate how analytics informs pricing, customer segmentation, product development, and forecasting, making the material immediately relevant to day-to-day business decisions. The blend of theory, accessible explanations, and actionable guidance makes this a rare resource: a university-grade foundation that’s genuinely useful in industry settings.
Who This Book Is Perfect For:
This book is ideal for business professionals who want to understand what data science can do for their organisations without getting lost in technical detail. It’s especially well suited for managers, product owners, marketing leaders, operations coaches, and strategy teams who need to bridge the gap between business objectives and technical execution. It’s also an excellent starting point for MBA students, aspiring data scientists, and analysts who want to articulate the business value of analytics to executives. If you’re a decision-maker seeking a solid mental model for evaluating data initiatives, or a collaborator aiming to translate technical results into strategic action, this book will become a trusted reference in your toolkit.
Key Highlights:
- Clear, non-technical explanation of data science essentials and data-analytic thinking
- Practical guidance on aligning analytics with business goals and strategy
- Real-world examples that illustrate how data mining informs decisions
- Strategies for effective collaboration between business stakeholders and data scientists
- Frameworks to evaluate models, interpret results, and communicate insights
- Foundational concepts that scale from small projects to enterprise analytics programs
- A reader-friendly pathway from hypothesis to implementation and impact
About the Author:
Foster Provost and Tom Fawcett are renowned data science experts whose collaboration produced a work that bridges academic rigor with practical business relevance. Provost, a leading academic in data science, has taught an influential MBA course at New York University for a decade, shaping how countless business professionals think about data. Fawcett brings deep practical insight as a co-author who translates complex analytics into accessible lessons for leaders and practitioners. Together, they provide a compelling blend of theoretical foundations and actionable strategies, grounded in real-world business challenges. The book reflects their commitment to helping readers understand not just how algorithms work, but how to harness them ethically and effectively to support strategic decisions and competitive advantage.
Why You’ll Love This Book:
If you’re building or evaluating data initiatives in a business context, this book is a powerful companion. It offers a principled, business-focused lens on data science, helping you think critically about which questions to ask, how to interpret results, and how to translate insights into concrete action. The approachable tone makes complex ideas feel approachable for non-technical readers, while still providing the depth needed to participate meaningfully in analytics discussions. Owning this book is like having a strategic playbook for data-driven decision-making — a reliable reference that can inform governance, budgeting, project scoping, and cross-functional collaboration. It’s an excellent foundation for teams who want to align analytics with business outcomes from day one and sustain value over time.
Please Note: The individual books included in this listing will be dispatched as per the original UK ISBN and UK edition cover image shown in the image.
