Data Science Without Makeup

A Guidebook for End-Users, Analysts, and Managers
 
 
Chapman & Hall/CRC (Verlag)
  • 1. Auflage
  • |
  • erschienen am 1. November 2021
  • |
  • 194 Seiten
 
E-Book | PDF ohne DRM | Systemvoraussetzungen
978-1-000-46480-1 (ISBN)
 
- The book shows you what 'data science' actually is and focuses uniquely on how to minimize the negatives of (bad) data science
- It discusses the actual place of data science in a variety of companies, and what that means for the process of data science
- It provides 'how to' advice to both individuals and managers
- It takes a critical approach to data science and provides widely-relatable examples
 

- The book shows you what 'data science' actually is and focuses uniquely on how to minimize the negatives of (bad) data science
- It discusses the actual place of data science in a variety of companies, and what that means for the process of data science
- It provides 'how to' advice to both individuals and managers
- It takes a critical approach to data science and provides widely-relatable examples

1. Auflage
  • Englisch
  • London
  • |
  • Großbritannien
Taylor & Francis Ltd
  • Für Beruf und Forschung
6 Tables, black and white; 45 Line drawings, black and white; 45 Illustrations, black and white
978-1-000-46480-1 (9781000464801)

weitere Ausgaben werden ermittelt
Mikhail Zhilkin is a Data Scientist at Arsenal FC. He has previously worked on the popular Candy Crush mobile games and in sports betting.

<b>Mikhail Zhilkin</b> is a Data Scientist at Arsenal FC. He has previously worked on the popular Candy Crush mobile games and in sports betting.

Foreword by Tom Allen, Lead Sports Scientist at Arsenal FC

Part One. The Ugly Truth

1. What is Data Science?

2. Data Science is Hard

3. Our Brain Sucks

Part Two. A New Hope

4. Data Science for People

5. Quality Assurance

6. Automation

Part Three. People, People, People

7. Hiring a Data Scientist

8 What a Data Scientist Wants

9. Measuring Performance

"Having worked with Mikhail it does not surprise me that he has put together a comprehensive and insightful book on Data Science where down-to-earth pragmatism is the recurring theme. This is a must-read for everyone interested in industrial Data Science, in particular analysts and managers who want to learn from Mikhail's great experience and approach."

--Stefan Freyr Gudmundsson, Lead Data Scientist at H&M, former AI Research Lead at King and Director of Risk Analytics and Modeling at Islandsbanki.

"Mikhail's book is a clear sighted-look at why data science is hard, and why it is so rewarding. It tells the unvarnished truth about data science. The author's view from the trenches will resonate with data scientists, giving them vocabulary and frameworks to describe what they need from colleagues and clients. For sponsors and consumers of data science, this book will clarify what the data scientists are doing with their time. are doing with their time and why they need to do it. Chapter 2 ('Data Science is Hard') is worth the price on its own -- and then Zhilkin gives us processes to help. An invaluable resource for, in plain language, framing data science as a difficult but valuable role in an organization, with strong advice on processes to maximize the effectiveness of that role. A must-read for any practitioner, manager, or executive sponsor of data science."

--Ted Lorenzen, Director of Marketing Analytics at Vein Clinics of America

"Mikhail is a pioneer in the applied data science space. His ability to provide innovative solutions to practical questions in a dynamic environment is simply superb. Importantly, Mikhail's ability to remain calm and composed in high-pressure situations is surpassed only by his humility."

--Darren Burgess, High Performance Manager at Melbourne FC, former Head of Elite Performance at Arsenal FC
 

"Having worked with Mikhail it does not surprise me that he has put together a comprehensive and insightful book on Data Science where down-to-earth pragmatism is the recurring theme. This is a must-read for everyone interested in industrial Data Science, in particular analysts and managers who want to learn from Mikhail's great experience and approach."

<i>--<b>Stefan Freyr Gudmundsson</b>, Lead Data Scientist at H&M, former AI Research Lead at King and Director of Risk Analytics and Modeling at Islandsbanki.</i>

"Mikhail's book is a clear sighted-look at why data science is hard, and why it is so rewarding. It tells the unvarnished truth about data science. The author's view from the trenches will resonate with data scientists, giving them vocabulary and frameworks to describe what they need from colleagues and clients. For sponsors and consumers of data science, this book will clarify what the data scientists are doing with their time. are doing with their time and why they need to do it. Chapter 2 ('Data Science is Hard') is worth the price on its own -- and then Zhilkin gives us processes to help. An invaluable resource for, in plain language, framing data science as a difficult but valuable role in an organization, with strong advice on processes to maximize the effectiveness of that role. A must-read for any practitioner, manager, or executive sponsor of data science."

--<i><b>Ted Lorenzen, </b>Director of Marketing Analytics at Vein Clinics of America</i>

"Mikhail is a pioneer in the applied data science space. His ability to provide innovative solutions to practical questions in a dynamic environment is simply superb. Importantly, Mikhail's ability to remain calm and composed in high-pressure situations is surpassed only by his humility."

<i>--<b>Darren Burgess</b>, High Performance Manager at Melbourne FC, former Head of Elite Performance at Arsenal FC</i>

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