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LinkedIn Learning

Excel: Data Validation in Depth

via LinkedIn Learning

Overview

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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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