Evaluating and Improving Data Quality
You will learn how to identify common data quality issues and choose practical actions to improve trust in data. You will focus on missing values, duplicates, invalid entries, inconsistent formats, outdated records, irrelevant fields, and unreliable sources. You will also learn how cleaning, transformation, governance, documentation, and data culture help make data more dependable.