Data Validation Basics: Prevent Dirty Data and Maintain Integrity

Poor data entry costs organizations time, money, and accuracy. By setting up clear guardrails at the point of entry, you can stop bad data before it ever reaches your system. This text-based course teaches you how to design and write robust validation rules that keep your records clean and consistent. You will transition from manually cleaning up messy spreadsheets and databases to automatically enforcing high-quality data standards. Through clear explanations and practical syntax examples, you will learn how to restrict inputs, format fields correctly, and handle common business requirements. What you'll learn: - Understand the core principles of data integrity and the cost of dirty data - Write logical expressions and formulas to restrict user input to valid formats - Design custom error messages that guide users to correct their entries immediately - Apply validation rules to common scenarios like dates, emails, and numeric ranges - Implement modern best practices for testing validation rules without disrupting active users - Maintain database consistency across multiple connected tables or sheets We start with the foundational concepts of data types, null values, and basic boolean logic. From there, you will progress through practical syntax structures and real-world business scenarios, learning how to write rules that are both strict enough to protect your data and flexible enough for everyday use. This course is designed entirely for beginners, requiring no prior programming or database administration experience. Start building cleaner, more reliable data systems today.