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Principles of Strategic Data Science

You're reading from  Principles of Strategic Data Science

Product type Book
Published in Jun 2019
Publisher
ISBN-13 9781838985295
Pages 104 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Peter Prevos Peter Prevos
Profile icon Peter Prevos
LinkedIn
Dr Peter Prevos is a civil engineer and social scientist who also dabbles in theatrical magic. Peter has almost three decades of experience as a water engineer and manager, working in Europe, Africa, Asia, and Australia. He has worked on marine engineering, drinking water, and sewage treatment projects. Throughout his career, analysing data has been a central theme. He also has a PhD in marketing and is the author of Customer Experience Management for Water Utilities. In his work, he aims to combine the social sciences with engineering to create value for customers. Peter occasionally lectures marketing for MBA students. He is currently responsible for developing and implementing the data science strategy for a water utility in regional Australia. The objective of this strategy is to create value from data through useful, sound, and aesthetic data science. His mission is to breed unicorn data scientists by motivating other water professionals to ditch their spreadsheets and learn how to write code.
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Table of Contents (6) Chapters

Preface 1. Chapter 1: What is Data Science? 2. Chapter 2: Good Data Science 3. Chapter 3: Strategic Data Science 4. Chapter 4: The Data-Driven Organization 5. References

Preface

About

This section briefly introduces the author and the coverage of this book.

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Authors (1)

Profile icon Peter Prevos
LinkedIn
Dr Peter Prevos is a civil engineer and social scientist who also dabbles in theatrical magic. Peter has almost three decades of experience as a water engineer and manager, working in Europe, Africa, Asia, and Australia. He has worked on marine engineering, drinking water, and sewage treatment projects. Throughout his career, analysing data has been a central theme. He also has a PhD in marketing and is the author of Customer Experience Management for Water Utilities. In his work, he aims to combine the social sciences with engineering to create value for customers. Peter occasionally lectures marketing for MBA students. He is currently responsible for developing and implementing the data science strategy for a water utility in regional Australia. The objective of this strategy is to create value from data through useful, sound, and aesthetic data science. His mission is to breed unicorn data scientists by motivating other water professionals to ditch their spreadsheets and learn how to write code.
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See other products by Peter Prevos

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