Data Validation is a process used to ensure the accuracy and quality of data. Coursera's Data Validation catalogue teaches you about the techniques and methods used to check data for completeness, consistency, and accuracy. You'll learn everything from simple data validation methods like range check, type check, and uniqueness check to more complex methods such as cross-field validation and referential integrity check. Master the skills to identify and correct various types of data errors, understand the importance of data integrity, and implement effective data validation strategies in your database systems, scientific research, business analysis, or any field that relies upon accurate data.