Analyzing the Analyzers

An Introspective Survey of Data Scientists and Their Work

Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design
Cover of the book Analyzing the Analyzers by Harlan Harris, Sean Murphy, Marck Vaisman, O'Reilly Media
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Author: Harlan Harris, Sean Murphy, Marck Vaisman ISBN: 9781449368401
Publisher: O'Reilly Media Publication: June 10, 2013
Imprint: O'Reilly Media Language: English
Author: Harlan Harris, Sean Murphy, Marck Vaisman
ISBN: 9781449368401
Publisher: O'Reilly Media
Publication: June 10, 2013
Imprint: O'Reilly Media
Language: English

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.

Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths.

This report describes:

  • Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers
  • Cases in miscommunication between data scientists and organizations looking to hire
  • Why "T-shaped" data scientists have an advantage in breadth and depth of skills
  • How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths.

This report describes:

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