New Data Scientist Survey Reveals Skills, Education, Outcomes

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dsby Angela Guess

Writing for, Bob Hayes recently reported on the results of a new survey of 490 data professionals done by AnalyticsWeek in partnership with Business Over Broadway. Hayes writes, “We invited data professionals from a variety of sources, including AnalyticsWeek community members and social media (e.g., Twitter and LinkedIn), to complete a short survey, asking them about their proficiency across different data skills, education, job roles, team members, satisfaction with their work outcomes and more.  We received 490 completed survey responses. Most of the respondents were from North America (68%), worked for B2B companies (79%) with less than 1000 employees (53%) in the IT, Financial Services, Education/Science, Consulting and Healthcare & Medicine (68%). Males accounted for 75% of the sample. A majority of the respondents held 4-year (30%), Master’s (49%) or PhD (18%) degrees.”

Hayes goes on, “Data science is an umbrella term, under which different skills fall. We identified 25 data skills that make up the field of data science. They fall into five broad areas: 1) Business, 2) Technology, 3) Programming, 4) Math & Modeling and 5) Statistics. Respondents were asked to indicate their level of proficiency for each of 25 different skills, using a scale from 0 (Don’t know) to (Expert). Proficiency levels varied widely across the different skills (see Figure 1). The respondents reported a high degree of competency in such areas as Communications, Structured data, Data mining, Science/Scientific Method and Math. The respondents indicated a low degree of competency in such areas as Systems Administration, Front- and Back-end programming, NLP, Big and distributed data and Cloud Management.”

Read more here.

photo credit: AnalyticsWeek

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