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Which technical skills, programming languages, and tools are vital for aspiring data science experts?

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To become a data science expert, one should master technical skills such as statistical analysis, machine learning, and data manipulation using Python and R programming languages. Proficiency in data visualization tools like Matplotlib and Tableau, as well as database management with SQL, is essential. Additionally, expertise in libraries such as TensorFlow and scikit-learn for machine learning and data analysis is crucial for success in this field.

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