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Data cleaning removes duplicates, fixes missing values, corrects inconsistencies, and standardizes formats. This ensures datasets are reliable, improving model accuracy and decision-making quality. Clean data leads to clearer insights and fewer errors during analysis. A Data Analytics course teaches practical cleaning techniques essential for high-quality business reporting and predictions.
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Posted : 20/11/2025 1:59 pm