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Amazing Reports and Data Analysis with Excel PivotTables

Course Summary

Learn to easily create powerful management reports and analyze data in minutes using Excel Pivot Tables


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    Course Syllabus

    • Introduction
      • Introduction to PivotTables
      • Introduction to using the course
      • Download the Training Data Set
      • Correctly Structure your Data
      • Correctly Structure Data Using Tables
    • Creating Excel Pivot Tables
      • Introduction to Creating your First PivotTable
      • Create a Pivot Table
      • Add More Than One Dimension
      • Add More Than One Measure
      • Changing the Number Format
      • Changing the Number Format
      • Changing Region and Language Options
    • Pivot Table Menu Options
      • Introduction to Pivot Table Menu Options
      • Pivot Table Menu Options
      • Format Pivot Tables
    • Changing the Method of Aggregation
      • Changing the Method of Aggregation
      • Changing the Method of Aggregation
      • Sorting Data
    • Trend - Time Analysis with Pivot Tables
      • Introduction to Time Analysis
      • Time Analysis with Pivot Tables
      • Creating Management Style Reports
      • Creating Custom Time Formulas
      • Using Sparklines to Analyse Trends
    • Filtering Pivot Tables
      • Introduction to Filtering and Slicing Data
      • Filter Text Fields
      • Top 10 Analysis
      • Using the Report Filter
      • Using Slicers to Filter
      • Using Slicers to Filter Multiple PivotTables
    • Show Value As Calculations
      • The Show Value As Calculations
      • Percentage Calculations
      • Parent Percentage Calculations
      • Difference From Calculations
      • Pareto Analysis
      • Percentage of Calculation
    • Frequency Analysis
      • Introduction to Frequency Analysis
      • Download the Employee Master data source
      • Frequency Analysis
    • Custom Calculations
      • Creating Custom Calculations
      • Creating Custom Calculations
    • Conclusion
      • Conclusion


Course Fee:
USD 49

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Data & Information Management Community

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