Data scientists and data analysts have different responsibilities, tools used, educational backgrounds, and teams they sit on. Data scientists focus more on exploring and investigating data to discover new insights, and typically have stronger math and coding skills. Data analysts focus more on analyzing and reporting on data to answer specific business questions, using tools like SQL and Excel. Both roles are valuable to organizations for making data-driven decisions.

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Differences Between Data
Scientists and Data Analysts
Responsibilities
and Roles
Tools and
Technologies
Used
Educational
background and
skills required
Value They Bring to
Organizations
Teams They Sit On
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