Mastering MS Excel: Data Management and Pivot Tables
1. Data Validation:
Restricting Input: Set criteria for data entry.
Drop-Down Lists: Simplify selection within cells.
2. Conditional Formatting:
Highlighting Cells: Based on specified conditions.
Data Bars, Color Scales, Icon Sets: Visual data analysis.
3. Data Consolidation:
Combining Data: From multiple sources or worksheets.
Consolidation Methods: Sum, average, count, etc.
4. Removing Duplicates:
Identifying and Removing: Streamline data.
5. Text to Columns:
Splitting Data: Convert text into separate columns.
Delimiter Options: Specify characters for splitting.
6. Pivot Table Basics:
Creating a Pivot Table: Summarize and analyze data.
Row Labels, Values, and Columns: Organize information.
7. Pivot Table Customization:
Field Settings: Modify calculation methods.
Grouping Data: Simplify complex datasets.
8. Slicers:
Visual Filter: Enhance interactivity in Pivot Tables.
Connecting Slicers to Multiple Tables: Streamlined analysis.
9. Advanced Pivot Table Features:
Calculated Fields/Items: Create custom calculations.
Sorting and Filtering Data: Drill down into specifics.
10. Power Pivot Introduction:
Data Model Creation: Handle large datasets efficiently.
Relationships Between Tables: Streamline analysis.
