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CSC 226 Database Programming for BusinessAssignment 1 This assignment is due on Wednesday, March 26. Answers to the first part are to be typed and printed out, the second part could be answered directly
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SQL for data science refers to the use of Structured Query Language (SQL) to manipulate and analyze data within databases as part of data science practices. It allows data scientists to query databases, extract data, and perform analyses.
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Individuals and organizations that engage in data science projects involving the analysis of data from databases may be required to file SQL for data science if applicable regulations or standards mandate such filings.
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Filling out SQL for data science involves writing SQL queries using commands like SELECT, INSERT, UPDATE, and DELETE to manage data. Users should write specific queries based on the analysis or data extraction needed.
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The purpose of SQL for data science is to efficiently manage and manipulate large datasets within relational databases, enabling data scientists to analyze data, derive insights, and inform decision-making.
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Reported information in SQL for data science typically includes the data structures used, the specific queries executed, the datasets analyzed, and the results or insights derived from the analysis.
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