Data Validation Techniques in Microsoft Excel
In this course, you will learn how to effectively set up data validation rules for text, numeric, and date data, and configure static and dynamic drop-down lists, helping to maintain accurate and reliable employee and organizational databases.
What you'll learn
Accurate data entry and validation are crucial for maintaining reliable datasets and ensuring data integrity in any organization.
In this course, Data Validation Techniques in Microsoft Excel, you'll learn how to set up robust data validation rules for different data types, implement custom validation rules, configure static and dynamic drop-down lists, and implement strategies to display error messages and alerts for data.
When you’re finished with this course, you’ll have the skills of data validation needed to better understand how you can use Excel to ensure the integrity of your data.
Table of contents
- Introducing Data Validation Techniques in Microsoft Excel 0m
- Demo: Text Length Validation 2m
- Demo: Stop, Warning, and Information Alerts 2m
- Demo: Custom Text Validation Using a Formula 3m
- Demo: Number and Date Validation 2m
- Demo: Data Validation for Lists 3m
- Demo: Dynamic Drop-downs 1m
- Demo: INDEX and MATCH Functions to Build Dynamic Drop-downs 4m
- Demo: Configuring Dynamic Drop-downs 5m
About the author
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing ... more