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LinkedIn Learning

Excel: Data Validation in Depth

via LinkedIn Learning

Overview

Learn how to optimize Excel data validation functions and techniques to help ensure data accuracy and consistency in data sets and reports.

Syllabus

Introduction
  • Understanding different validation methods
1. Types of Data Validation Commands for Data Entry
  • Controlling data through data validation commands
  • Using the Input tab
  • Creating error alerts
  • Controlling cells to only hold whole numbers
  • Controlling cells to only certain text length
  • Challenge: Apply data validation and messages
  • Solution: Apply data validation and messages
2. Implementing Data Validation for Specific Cells
  • Creating drop-down lists
  • Naming data in Excel for validation
  • Multitiered lists
  • Changing lists and limitations
  • Challenge: Create lists and drop-downs
  • Solution: Create lists and drop-downs
3. Creating Valid Data for Lists and Calculations
  • Drop-downs and VLOOKUPs
  • Drop-downs and XLOOKUPs
  • Using IFERROR for clean values
  • Using 3D references to reduce manual calculation
  • Leverage custom functions for data validation
  • Challenge: 3D reference challenge
  • Solution: 3D reference challenge
4. Validating Dates and Times
  • Validating dates with data validation
  • Validating times with data validation
5. Other Data Validation Techniques
  • Requiring entries to be unique
  • Find data validation in a workbook
  • Formula auditing to validate data
  • Removing data validation
6. Data Validation Techniques for Data in Power Query
  • Creating data sets from your validated data
  • Dealing with duplicated data
  • Dealing with bad data and types
  • Using data validation to find invalid data.
  • Using Column profile and quality to confirm values
7. Continuing Your Excel Data Validation Learning Journey
  • Next steps and additional resources

Taught by

Robin Hunt

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4.8 rating at LinkedIn Learning based on 107 ratings

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