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:
리얼타임 eBook 안내
PDF 형식으로 제공되며, 다운로드한 eBook은 PDF 포맷을 지원하는 디바이스 또는 프로그램에서 제한없이 열람할 수 있습니다. 또한 eBook 내의 텍스트 검색 및 인쇄도 가능합니다.