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Mastering data science requires familiarity with a diverse set of tools that cater to different aspects of the data science workflow. Programming languages like Python and R are foundational, while data visualization tools such as Tableau and Matplotlib enable effective communication of insights. Machine learning libraries like Scikit-learn and TensorFlow facilitate model building, and big data frameworks like Hadoop and Spark handle large-scale data processing.
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