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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.

Janani Ravi - Pluralsight course - Data Validation Techniques in Microsoft Excel
by Janani Ravi

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

About the author

Janani Ravi - Pluralsight course - Data Validation Techniques in Microsoft Excel
Janani Ravi

A problem solver at heart, 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.

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