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In Data analytics training, handling missing values involves techniques like imputation using mean, median, or mode, predictive modeling, or removing incomplete records when appropriate. The goal is to preserve data integrity while minimizing bias, ensuring that analysis results remain accurate, reliable, and reflective of real-world trends.
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Posted : 13/08/2025 1:53 pm