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SQL is a crucial tool in data science for accessing and managing data stored in databases. It helps data scientists retrieve, clean, and explore data efficiently. SQL is used to perform tasks like filtering, joining tables, and summarizing data. It's integrated with many data science tools, making it easy to use within various analysis environments. Proficiency in SQL ensures that data operations are fast, scalable, and reproducible, which is essential for handling large datasets and collaborating with others.
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SQL is extremely important for data science. It allows you to work with structured data stored in databases.
As a data scientist, you need SQL to extract, manipulate, and analyze data from these databases. Big data tools like Hadoop and Spark also use SQL for processing structured data
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