Which of the following best describes the principal goal of data science?

Question

BlackTom AI · Accepted Answer

When evaluating the principal goal of data science, it helps to parse what each option implies about the field's purpose and scope.
Option 1: 'To prepare data for analysts to use as part of analytics applications.' This focuses on data preparation as the primary aim. While data cleaning, integration, and wrangling are important steps in data science workflows, describing data science solely as preparation for analysts narrows the scope to a preparatory phase rather than the broader objective of deriving actionable insights and driving decisions from data.
Option 2: 'To collect and archive exhaustive data sets from various source systems for corporate record keeping uses.' This emphasizes data collection and archival duties. However, data science is not primarily about exhaustive archival storage; it is about extracting knowledge, patterns, and value from data, which goes beyond mere storage or archival practices and includes analysis, modeling, and decision support.
Option 3: 'To mine and analyze large amounts of data in order to uncover information that can be leveraged for operational improvements and business gains.' This statement highlights the core activity (mining and analyzing data) and explicitly connects it to practical outcomes (operational improvements and business gains). It captures the value-driven and capability-building essence of data science, including discovery, interpretation, and application of insights to drive actions.
Option 4: 'None of the options is an accurate description of the principal goal of data science.' This is a negation that would only be correct if all other statements failed to describe data science's principal goal. Given that option 3 aligns with widely accepted purposes of data science, this negation is unlikely to be accurate.
In summary, option 1 centers on preparation, option 2 on storage, option 3 on extracting actionable insights for business value, and option 4 challenges the others. The nuanced distinction is that the principal goal of data science is best captured by actively turning data into information that informs improvements and gains, which is what option 3 describes.

Which of the following best describes the principal goal of data science?单项选择题

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