Data Cleaning & Transformation Techniques Mastery Hub: The I

In the context of the "The Complete Google Sheets Data Scrubbing Course 2026: From Zero to Expert!", which advanced technique would be most crucial for identifying and rectifying inconsistencies in date formats across a large dataset, specifically when dealing with variations like "MM/DD/YYYY", "DD-MM-YYYY", and "YYYY.MM.DD"?

The "The Complete Google Sheets Data Scrubbing Course 2026: From Zero to Expert!" emphasizes robust data validation. When dealing with a column containing product IDs that should adhere to a specific alphanumeric pattern (e.g., "PROD-XXXX" where X is a digit), which method offers the most sophisticated and efficient validation, including real-time feedback to the user entering data?

Within the "The Complete Google Sheets Data Scrubbing Course 2026: From Zero to Expert!", the concept of "data normalization" is explored. If you have a dataset with redundant information where customer addresses are repeated for each transaction, which normalization technique is most appropriate to reduce redundancy and improve data integrity?