Analyst: How the Data Science department is built.

Source: Internet
Author: User

Many big companies claim to be building the data Science department, how the department should be formed, and everyone is touching rocks across the river.

O ' Reilly Strata released its report this June, "analyzing the Analyzers", which sets out a clearer picture of the different roles and skills required by the data Science department. The key content is translated as follows:

Classification research methods of data scientists

Self-understanding

Respondents were asked to answer the question "I think I'm a xx" with the usual level 5 standard (from full consent to total disagreement) to get the results of the data scientists ' self-awareness. The results of the survey will be divided into the following four categories of data scientists: businesspeople, data creatives, data Developer, information researchers.

Skill needs

Respondents were asked to rank the following 22 skills required by data scientists to analyze the skills requirements of different types of data scientists. ML is a shorthand for machine learning, or refers to operations Research (Operations)

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