Data Science for Business

by Foster Provost and Tom Fawcett
Data Science for Business cover
Good Books rating 4.25
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Technical
  • ID: 10860
  • Added: 2026-02-06
  • Updated: 2026-02-06
  • Reviews: 3
Reviews
Medium · Brendan Bailey · 2016-05-22
insightful 4.50

This book is recommended for anyone who needs to work with or hire data scientists but doesn't fully understand their role. It offers valuable insights into the field.

Brendan Bailey finds this book to be an excellent resource for those who need to interact with data scientists but may not have a technical background. They appreciate the book's ability to demystify the role of data scientists and provide practical insights into how to work effectively with them. The reviewer plans to recommend this book to others in similar positions, highlighting its usefulness in bridging the knowledge gap.

Quick quotes

    I plan on recommending this book to anyone who needs to work with/hire/manage data scientists, but doesn't quite understand what they do.

    It offers valuable insights into the field.

    The reviewer plans to recommend this book to others in similar positions.

ScraperWiki · 2014-05-02
practical 4.00

This book is aimed at managers who work with data scientists rather than being data scientists themselves. It provides a clear and practical guide to understanding the field.

The reviewer highlights that this book is particularly useful for those who need to manage or work with data scientists but may not be experts in the field themselves. They appreciate the practical approach and the way the book breaks down complex concepts into understandable terms. The book is seen as a valuable resource for bridging the gap between business needs and data science capabilities.

Quick quotes

    The pitch for the book is that it is for people who will manage data scientists rather than necessarily be data scientists themselves.

    It provides a clear and practical guide to understanding the field.

    The book is seen as a valuable resource for bridging the gap between business needs and data science capabilities.

The Tai-Dev Blog · 2014-01-18
clear 4.25

The book is well-written and accessible, making complex topics in data science easy to understand. It is praised for its clarity and practical examples.

The reviewer commends the book for its superb writing style and ease of reading, which is particularly impressive given the potentially dry topic of data science. They highlight the book's ability to present complex concepts in a clear and understandable manner, making it a valuable resource for both beginners and experienced professionals. The practical examples and real-world applications are noted as particularly useful.

Quick quotes

    The book is superbly written and reads very easily, which for the potentially dry topic of data science is worthy of praise alone.

    The majority of the book is dedicated to practical examples and real-world applications.

    It is praised for its clarity and practical examples.

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