Standard deviation is calculated by measuring how far data values deviate from the mean on average. A low value indicates data points are closely clustered, while a high value shows greater variability. In a data analyst course in Mumbai, learners interpret standard deviation to assess risk, consistency, and reliability of datasets for informed decision-making.
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