Data Quality refers to the condition of a set of values of qualitative or quantitative variables, which should be clean, correct, complete, consistent, and updated. Coursera's Data Quality catalogue teaches you about the methodologies, techniques, and tools to manage and guarantee high data quality. You'll learn everything from the basics of data cleansing, data integration, dealing with missing or inconsistent data, to more advanced topics like data profiling and governance. Boost your career as a data analyst, data scientist, or data manager by mastering the strategies and technologies to ensure the accuracy and reliability of your data.