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Principles of Strategic Data Science

You're reading from Principles of Strategic Data Science Creating value from data, big and small

Product type Paperback

Published in Jun 2019

Publisher

ISBN-13 9781838985295

Length 104 pages

Edition 1st Edition

Languages

Python

Concepts

Data Science

Author (1):

Peter Prevos

View More author details

Table of Contents (6) Chapters

Preface

1. Chapter 1: What is Data Science?

2. Chapter 2: Good Data Science FREE CHAPTER

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.

The rest of the chapter is locked

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Authors (1)

Prevos

Prevos

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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