Name: Data Science for Business
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Data Science for Business

<ul><li>Fundamental Principles: Introduces the fundamental principles of data science and the "data-analytic thinking" necessary for extracting useful knowledge and business value from collected data.</li><li>Data Mining Techniques: Helps understand the many data-mining techniques in use today.</li><li>Real-World Application: Provides examples of real-world business problems to illustrate data science principles, based on an MBA course taught at New York University.</li><li>Business Stakeholder Communication: Learn how to improve communication between business stakeholders and data scientists.</li><li>Project Participation: Discover how to participate intelligently in company data science projects and appreciate how data science methods support business decision-making.</li></ul>

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years,&nbsp;Data Science for Business&nbsp;provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.<ul class="a-unordered-list a-vertical" style="margin-bottom: 0px; margin-left: 18px; color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px;"><li style="list-style: disc; overflow-wrap: break-word; margin: 0px;">Understand how data science fits in your organization―and how you can use it for competitive advantage</li><li style="list-style: disc; overflow-wrap: break-word; margin: 0px;">Treat data as a business asset that requires careful investment if you’re to gain real value</li><li style="list-style: disc; overflow-wrap: break-word; margin: 0px;">Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way</li><li style="list-style: disc; overflow-wrap: break-word; margin: 0px;">Learn general concepts for actually extracting knowledge from data</li><li style="list-style: disc; overflow-wrap: break-word; margin: 0px;">Apply data science principles when interviewing data science job candidates</li></ul>

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[This review was collected as part of a promotion.] I used this as the textbook for my data science class. It has valuable definitions and real world scenarios of data science history and applications to date. The book manages to simplify these complex definitions, but also gives reader the option to dive deeper if they already have some prior knowledge.

Data Science Great Read!

walmart.com

Data Science for Business front cover with title and subtitle 'What You Need to Know About Data Mining and Data-Analytic Thinking', authors Foster Provost & Tom Fawcett, multicolored overlapping circular-arc graphic across lower third on white background; practical business analytics and statistics textbook, suitable as an MBA course reference.