Data Science Without Makeup - A Guidebook for End-Users, Analysts, and Managers

Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and Managers will be of great interest to people who aspire to work with data, people who already work with data, and people who work with people who work with data - from students to professionals.

List of contents

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

About the author

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

Summary

Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and Managers will be of great interest to people who aspire to work with data, people who already work with data, and people who work with people who work with data - from students to professionals.

Product details

• Authors: Mikhail Zhilkin
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 02.11.2021
• EAN: 9780367520687
• ISBN: 978-0-367-52068-7
• No. of pages: 178
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Operating systems, user interfaces; Social sciences, law, business > Business > Economics; Data Mining, Business & Economics / General, SPORTS & RECREATION / Soccer, BUSINESS & ECONOMICS / Business Ethics, COMPUTERS / General, BUSINESS & ECONOMICS / Business Communication / General, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Interactive & Multimedia, BUSINESS & ECONOMICS / Careers / General, COMPUTERS / Programming / Games, COMPUTERS / Computer Literacy, SPORTS & RECREATION / Football, BUSINESS & ECONOMICS / Industries / Entertainment, computer science, Management: leadership & motivation, Management: leadership and motivation, Personnel & human resources management, Probability & statistics, Information technology: general issues, Databases, GAMES & ACTIVITIES / Video & Mobile, COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Visualization, Internet Guides & Online Services, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Database Administration & Management, Database design & theory