Advanced Excel

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Advanced Excel

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About Course

higher level of proficiency in Microsoft Excel, a powerful spreadsheet software widely used for data analysis, reporting, and various other tasks. Here are some advanced Excel skills and topics that users often explore:

  1. PivotTables and PivotCharts:
    • Analyzing and summarizing large datasets efficiently.
    • Creating dynamic reports using PivotTables and visualizing data with PivotCharts.
  2. Data Validation and Advanced Data Tools:
    • Implementing data validation rules to control data input.
    • Using tools like Goal Seek, Solver, and Scenario Manager for advanced data analysis.
  3. Advanced Formulas and Functions:
    • Mastering complex functions like VLOOKUP, HLOOKUP, INDEX-MATCH, and nested functions.
    • Understanding array formulas and using them effectively.
  4. Power Query and Power Pivot:
    • Importing and transforming data using Power Query.
    • Building data models and performing advanced data analysis with Power Pivot.
  5. Conditional Formatting:
    • Creating intricate conditional formatting rules to highlight specific data points.
    • Using custom formulas for conditional formatting.
  6. Macros and VBA (Visual Basic for Applications):
    • Automating repetitive tasks with recorded macros.
    • Writing and editing VBA code for customized automation and functionality.
  7. Dynamic Dashboards:
    • Designing interactive dashboards using Excel features.
    • Incorporating slicers, timelines, and form controls for enhanced user experience.
  8. Advanced Charting:
    • Creating complex charts like combo charts, radar charts, and heat maps.
    • Customizing chart elements for clarity and impact.
  9. Collaboration and Data Sharing:
    • Protecting and securing worksheets and workbooks.
    • Using Excel’s collaboration features, including sharing and tracking changes.
  10. Financial Modeling:
    • Building financial models for forecasting and decision-making.
    • Utilizing Excel’s financial functions for investment analysis and valuation.
  11. Database Functions:
    • Working with database functions such as DSUM, DCOUNT, and DAVERAGE.
    • Understanding and using structured references in Excel tables.
  12. Solver and What-If Analysis:
    • Using Solver for optimization problems.
    • Performing What-If Analysis to explore different scenarios.
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Course Content

PivotTables and PivotCharts
Analyzing and summarizing large datasets efficiently. Creating dynamic reports using PivotTables and visualizing data with PivotCharts.

  • PivotTables and PivotCharts

Data Validation and Advanced Data Tools
Implementing data validation rules to control data input. Using tools like Goal Seek, Solver, and Scenario Manager for advanced data analysis.

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