Data science without makeup : a guidebook for end-users, analysts and managers

Author(s)

    • Zhilkin, Mikhail

Bibliographic Information

Data science without makeup : a guidebook for end-users, analysts and managers

Mikhail Zhilkin

CRC Press, 2022

First edition

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Note

Content Type: text (rdacontent), Media Type: unmediated (rdamedia), Carrier Type: volume (rdacarrier)

Includes bibliographical references and index

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 professional researchers and from early-career to seasoned professionals"-- Provided by publisher

Contents of Works

  • The ugly truth. What is data science ; Data science is hard ; Our brain sucks
  • A new hope. Data science for people ; Quality assurance ; Automation
  • People, people, people. Hiring a data scientist ; What a data scientist wants ; Measuring data science

Description and Table of Contents

Description

- 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

Table 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

by "Nielsen BookData"

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