SQL and Python are important for training data analysts. Python is used to analyse, manipulate, and create machine learning models. It provides data handling libraries such as NumPy and Pandas. SQL is essential for managing databases, extracting particular data sets, and transforming data. For prospective data analysts, proficiency with these languages and technologies improves their capacity for data analysis and prepares them for the workforce.
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