Understanding this is key for data scientists.
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Data scientists need foundational skills in Python libraries like NumPy and Pandas for data manipulation, Matplotlib and Seaborn for visualization, and data cleaning techniques. Mathematical foundations include probability, statistics, and linear algebra. Machine learning fundamentals cover scikit-learn, supervised and
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