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Excel: Data Validation in Depth

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Data validation is a process that occurs within the way data is entered but also as it is extracted from data systems via reporting methods. As the old computer science saying goes, “garbage in/garbage out,” and this course shows Excel power users how to optimize Excel data validation functions and techniques in order to help ensure data accuracy and consistency in data sets and reports. Excel's powerful functions for data validation help eliminate hassles—or worse—that can occur when data inputs are poorly regulated and produce inaccurate data outcomes. Instructor Robin Hunt covers: the types of data validation commands for data entry in Excel; implementing data validation for specific cells; leveraging functions for creating valid data for lists and calculations; validating dates and times; non-standard data validation techniques; and data validation techniques for data in Power Query.


01 - Introduction
  • 01 - Understanding different validation methods

  • 02 - 1. Types of Data Validation Commands for Data Entry
  • 01 - Controlling data through data validation commands
  • 02 - Using the Input tab
  • 03 - Creating error alerts
  • 04 - Controlling cells to only hold whole numbers
  • 05 - Controlling cells to only certain text length
  • 06 - Challenge Apply data validation and messages
  • 07 - Solution Apply data validation and messages

  • 03 - 2. Implementing Data Validation for Specific Cells
  • 01 - Creating drop-down lists
  • 02 - Naming data in Excel for validation
  • 03 - Multitiered lists
  • 04 - Changing lists and limitations
  • 05 - Challenge Create lists and drop-downs
  • 06 - Solution Create lists and drop-downs

  • 04 - 3. Creating Valid Data for Lists and Calculations
  • 01 - Drop-downs and VLOOKUPs
  • 02 - Drop-downs and XLOOKUPs
  • 03 - Using IFERROR for clean values
  • 04 - Using 3D references to reduce manual calculation
  • 05 - Leverage custom functions for data validation
  • 06 - Challenge 3D reference challenge
  • 07 - Solution 3D reference challenge

  • 05 - 4. Validating Dates and Times
  • 01 - Validating dates with data validation
  • 02 - Validating times with data validation

  • 06 - 5. Other Data Validation Techniques
  • 01 - Requiring entries to be unique
  • 02 - Find data validation in a workbook
  • 03 - Formula auditing to validate data
  • 04 - Removing data validation

  • 07 - 6. Data Validation Techniques for Data in Power Query
  • 01 - Creating data sets from your validated data
  • 02 - Dealing with duplicated data
  • 03 - Dealing with bad data and types
  • 04 - Using data validation to find invalid data.
  • 05 - Using Column profile and quality to confirm values

  • 08 - 7. Continuing Your Excel Data Validation Learning Journey
  • 01 - Next steps and additional resources
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    تاریخ انتشار: 25 تیر 1402
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