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Starts 13 June 2025 10:52

Ends 13 June 2025

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Creating and Customizing Pivot Charts in Excel - From Data Preparation to Advanced Filtering

Master the creation and customization of pivot charts in Excel to transform complex data into dynamic visualizations. Learn data formatting, chart manipulation, and filtering techniques for effective data analysis.
Kevin Stratvert via YouTube

Kevin Stratvert

2618 Courses


12 minutes

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Overview

Master the creation and customization of pivot charts in Excel to transform complex data into dynamic visualizations. Learn data formatting, chart manipulation, and filtering techniques for effective data analysis.

Syllabus

  • Introduction to Pivot Charts in Excel
  • Overview of Pivot Charts and their Benefits
    Understanding the Excel Interface for Pivot Charts
  • Preparing Data for Pivot Charts
  • Importance of Data Formatting
    Cleaning and Organizing Data
    Using Tables for Dynamic Data Ranges
  • Creating Basic Pivot Charts
  • Inserting a Pivot Chart
    Selecting Data Fields for Analysis
    Initial Chart Configuration
  • Customizing Pivot Charts
  • Modifying Chart Types and Layouts
    Changing Styles and Colors
    Adding and Formatting Chart Elements (titles, legends, data labels)
  • Advanced Pivot Chart Techniques
  • Using Slicers for Interactive Filtering
    Creating Calculated Fields for More Insights
    Grouping Data for Better Visualization
  • Filtering Techniques in Pivot Charts
  • Applying Basic Filters
    Using Label and Value Filters
    Top 10 and Dynamic Date Filters
  • Advanced Filtering and Chart Manipulation
  • Applying Advanced Criteria for Filtering
    Using Conditional Formatting with Pivot Charts
    Integrating External Data Sources
  • Best Practices for Effective Data Visualization
  • Understanding Audience and Purpose
    Avoiding Common Visualization Mistakes
    Ensuring Clarity and Simplicity
  • Case Studies and Real-World Applications
  • Analyzing Business Data with Pivot Charts
    Financial Data Visualization
    Operational and Logistics Data Analysis
  • Conclusion and Next Steps
  • Review of Key Concepts
    Additional Resources for Continued Learning
    Practical Tips for Real-World Implementation

Subjects

Business