The Data Science Process (Simplified):
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Collect – Get raw data from various sources (files, web, databases, sensors, etc.)
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Clean – Fix or remove incorrect, incomplete, or duplicated data
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Explore – Analyze data using statistics and visualizations
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Model – Use machine learning or statistical models to find patterns or make predictions
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Interpret – Translate the results into actionable insights
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Communicate – Create visualizations or reports to share findings with others