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Data science training involves equipping individuals with the skills to analyze and interpret complex data. Key components include statistics, programming (typically in Python or R), data manipulation, and machine learning. Training often covers data visualization techniques using tools like Tableau or Matplotlib, and emphasizes practical projects to reinforce learning. Participants also learn about data ethics and effective communication of insights.
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