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AI for managers workshop
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Module 4
Core Data Cleaning Techniques in Power Query
1
Deduplicating Data
Remove duplicate records from a dataset
2
Filtering Data by Criteria
Filter rows based on specific criteria
3
Missing Value Imputation Techniques
Handle missing values by removing or replacing them
4
Splitting Columns by Delimiter
Split a single column into multiple columns based on a delimiter
5
Merging Columns
Merge multiple columns into a single column
6
Data Cleaning: Types and Formatting
Change data types and format columns appropriately
7
Cleaning Text: Trimming Whitespace and Beyond
Trim whitespace and clean text fields
Previous module
Getting Started with Power Query
Next module
Data Transformation for Analysis