Cover image for Analyzing the Analyzers

Book Description

Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking.

Table of Contents

  1. Analyzing the Analyzers
  2. 1. Introduction
  3. 2. Case Studies in Miscommunication
    1. Rock Stars and Gods
    2. Apples and Oranges
  4. 3. A Survey of, and About, Professionals
    1. Clustering Data Scientists
      1. Self-Identification
      2. Skills
      3. Combining Skills and Self-ID
    2. The Variety of Data Scientists
      1. Data Businesspeople
      2. Data Creatives
      3. Data Developer
      4. Data Researchers
    3. Big Data
    4. Related Surveys
  5. 4. T-Shaped Data Scientists
    1. Evidence for T-Shaped Data Scientists
  6. 5. Data Scientists and Organizations
    1. Where Data People Come From: Science vs. Tools Education
    2. From Theory to Practice: Internships and Mentoring
    3. Teams and Org Charts
    4. Career Paths
  7. 6. Final Thoughts
  8. A. Survey Details
    1. Design and Invitation
    2. Skills List
    3. Non-negative Matrix Factorization
    4. Acknowledgements
  9. About the Authors
  10. Colophon
  11. Copyright