A data analyst can ensure data quality and integrity by implementing strict data validation and cleaning processes. This includes checking for duplicates, handling missing values, and verifying data accuracy against reliable sources. Regular audits and updates to data management protocols also help maintain consistency. Clear documentation of data sources and transformation steps is essential to track changes and avoid errors. Using automated tools for monitoring data quality can further enhance reliability. Collaboration with stakeholders ensures that data remains relevant and aligned with business goals. Building these skills is crucial for anyone pursuing a data analyst course.
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