A data scientist needs a blend of technical and analytical skills. Proficiency in programming languages like Python and R is essential for data manipulation and analysis. Knowledge of statistical methods and machine learning algorithms helps in deriving insights from data. Familiarity with data visualization tools, such as Tableau or Matplotlib, is crucial for communicating findings effectively. Understanding databases and SQL is important for data retrieval. Strong problem-solving abilities, critical thinking, and effective communication skills are vital for translating complex results into actionable recommendations.
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