What You Need to Know about Data Mining and Data-Analytic Thinking
Publisher: Int’l Institute of Business Analysis
Publication date: July 27, 2013
Format: Digital and Paperback
Print length: 413 pages
Authored by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the foundational principles of data science and guides you through the essential “data-analytic thinking” needed to derive valuable insights and business value from your data. This comprehensive guide also delves into the various data-mining techniques used today.
Drawing from an MBA course taught by Provost at New York University for the past decade, Data Science for Business presents real-world business scenarios to illustrate these concepts. You’ll not only learn how to enhance communication between business stakeholders and data scientists but also how to actively engage in your company’s data science initiatives. Additionally, you’ll develop a data-analytical mindset and understand how data science methodologies can inform business decision-making.
Key Features:
- Gain insight into how data science fits within your organization and how it can be leveraged for competitive advantage.
- Recognize data as a valuable business asset that requires strategic investment to unlock its true value.
- Approach business challenges from a data-centric perspective, employing the data-mining process to acquire high-quality data efficiently.
- Master the fundamental concepts of extracting knowledge from data.
- Apply data science principles when evaluating and hiring data science professionals for your team.
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