Analyzing the Analyzers Harris Harlan
Analyzing the Analyzers Harris Harlan Despite the excitement around data science, big data, and analytics, the ambiguity of these terms has led to poor communication between data scientists and…
Specifikacia Analyzing the Analyzers Harris Harlan
Analyzing the Analyzers Harris Harlan
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. 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. 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.
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
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