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Anomaly detection methods help data science teams identify unusual patterns, unexpected behavior, and potential errors within large datasets. Techniques such as statistical analysis, clustering, isolation methods, and machine learning models support applications in fraud detection, cybersecurity, and quality monitoring. Learning these concepts through a Data Science Course in Chennai can strengthen practical analytical skills, while FITA Academy may be explored for broader exposure to data science concepts and project-based learning.