Uploaded February 2026 | Updated September 2026, 2 weeks ago
🚀 Welcome to dptutorials! If you're looking to enhance your Excel skills, you’re in the right place! 🚀
In this video, you’ll learn how to standardize phone numbers in Excel automatically. Most real-world datasets contain phone numbers in different formats such as spaces, dashes, brackets, +91, leading zeros, or extra text like “Phone:” and “Call”. Cleaning these manually is slow and leads to mistakes.
This tutorial shows a practical method to extract only digits from messy phone number text and then convert every entry into one consistent format like +91 98765 43210. This is extremely useful for HR files, CRM exports, customer lists, WhatsApp broadcast lists, vendor databases, and reporting.
You’ll also learn a simple validation trick to flag numbers that do not match the expected digit length after cleaning. If you want cleaner data, fewer errors, and professional Excel outputs, this is a must-know data cleaning technique.
Subscribe to dptutorials for more Excel formulas, data cleaning tricks, and productivity tutorials.
🚀 Thank you for watching! Let's learn, grow, and succeed together! 🚀
📢 #ExcelTips #DROPFunction #ExcelTricks #DataCleaning #ProductivityHacks #MicrosoftExcel #ExcelForBusiness
🚀 Welcome to dptutorials! If you're looking to enhance your Excel skills, you’re in the right place! 🚀
In this video, you’ll learn how to standardize phone numbers in Excel automatically. Most real-world datasets contain phone numbers in different formats such as spaces, dashes, brackets, +91, leading zeros, or extra text like “Phone:” and “Call”. Cleaning these manually is slow and leads to mistakes.
This tutorial shows a practical method to extract only digits from messy phone number text and then convert every entry into one consistent format like +91 98765 43210. This is extremely useful for HR files, CRM exports, customer lists, WhatsApp broadcast lists, vendor databases, and reporting.
You’ll also learn a simple validation trick to flag numbers that do not match the expected digit length after cleaning. If you want cleaner data, fewer errors, and professional Excel outputs, this is a must-know data cleaning technique.
Subscribe to dptutorials for more Excel formulas, data cleaning tricks, and productivity tutorials.
🚀 Thank you for watching! Let's learn, grow, and succeed together! 🚀
📢 #ExcelTips #DROPFunction #ExcelTricks #DataCleaning #ProductivityHacks #MicrosoftExcel #ExcelForBusiness
