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What are the key skills required to excel in a career in data science?

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To excel in a career in data science, one needs a strong foundation in statistics, mathematics, and programming (particularly in languages like Python, R, or SQL). Additionally, proficiency in data manipulation, data visualization, and machine learning is crucial. Critical thinking and problem-solving skills are essential for deriving insights from complex data sets. Effective communication skills are also necessary to convey findings to non-technical stakeholders. Continuous learning is key in this rapidly evolving field, as is the ability to adapt to new tools and technologies.