Mastering Excel Pivot Tables

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Master Excel Pivot Tables in our 6-hour course tailored for professionals and data analysts. Learn the purpose, benefits, and interface navigation of Pivot Tables, along with data preparation, customization, and advanced analysis techniques. Empower your data skills for informed decision-making!

  • Audience

    This course is tailored for professionals, data analysts, and anyone looking to deepen their understanding and proficiency in using Excel Pivot Tables.


    Participants should have a basic understanding of Microsoft Excel, including familiarity with data entry and basic formulas.


    6 hours

    Delivery Method

    Face to face or Virtual
  • Course Objectives

    By the end of this one-day course, participants will have mastered the art of Excel Pivot Tables, empowering them to efficiently analyze, summarize, and present data for more
    informed decision-making.

    Course Outline

    • Introduction to Pivot Tables
      • Understanding the purpose and benefits of Pivot Tables.
      • Navigating the Pivot Table interface in Excel.
    • Data Preparation for Pivot Tables
      • Importing and organising data for Pivot Table analysis.
      • Cleaning and transforming data for optimal use.
    • Creating Pivot Tables
      • Building Pivot Tables from scratch.
      • Using recommended Pivot Tables and layouts.
    • Configuring Pivot Table Fields
      • Understanding rows, columns, values, and filters.
      • Organising and customising fields for desired analysis.
    • Data Analysis with Pivot Tables
      • Utilising Pivot Tables for summarising and aggregating data.
      • Creating calculated fields for custom analysis.
    • Sorting and Filtering Data
      • Sorting data within Pivot Tables for better presentation.
      • Applying filters and slicers for focused analysis.
    • Grouping and Subtotaling
      • Grouping data to create meaningful summaries.
      • Adding subtotals and grand totals for comprehensive analysis.
    • Pivot Charts Integration
      • Creating Pivot Charts for visual representation of data.
      • Linking Pivot Tables and Pivot Charts for dynamic analysis.
    • Advanced Pivot Table Features
      • Utilising timeline slicers for date-based analysis.
      • Incorporating calculated items and fields for advanced calculations.