Course Details

Microsoft® Excel 365/2024: Data Tables & PivotTables Featuring Power Pivot

Course Description

This hands-on course is designed for business professionals and experienced Excel users who want to organize, analyze, and report on data more effectively using modern Excel tools and reporting features. Participants will learn how to work with structured Excel data, create dynamic PivotTables and PivotCharts, and leverage Microsoft Power Pivot and the Excel Data Model to perform advanced analysis on large or complex datasets.

The course begins with foundational data management techniques, including sorting, filtering, subtotaling, and working with Excel Tables. Participants will then build increasingly sophisticated PivotTables, progressing from basic summaries to interactive, multi-dimensional reports enhanced with slicers, timelines, filters, and PivotCharts.

The second half of the course introduces Microsoft Power Pivot, a powerful data modeling and analytics tool within Excel. Participants will learn how to extend the capabilities of traditional PivotTables by importing and relating multiple data sources, creating scalable data models, performing advanced calculations, and building interactive reporting solutions capable of handling significantly larger datasets.

The course also introduces modern Excel reporting workflows, including integration concepts between Power Query, Power Pivot, and dashboard reporting. AI-assisted productivity tools such as Microsoft Copilot and ChatGPT are also discussed as emerging technologies that can support data analysis, reporting, and workflow automation within Excel.

Through practical exercises and real-world business scenarios, participants will gain the skills needed to transform raw data into meaningful business insights while improving reporting efficiency, accuracy, and decision-making capabilities.

This course is ideal for analysts, accountants, financial professionals, operations teams, project managers, and Excel power users who regularly work with large datasets and need more advanced reporting and analytical tools within Microsoft Excel.

Cancellation Policy: Participants must cancel at least two weeks (ten working days) prior to class or tuition will be forfeited.

IMPORTANT INFORMATION ABOUT PARTICIPATION:  As part of our sponsorship with NASBA, we have agreed to provide at least three (3) instances of engagement per CPE hour (50 minutes).  These may come in the form of open-ended questions, hand-raising, polling, and other techniques.  You must answer or respond to all three opportunities to engage in order to receive credit for that CPE hour.   Knowledge Source Inc. retains these responses after all CPE classes for audit purposes.

Knowledge Source Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

Upon successful completion of this course, participants will be able to:

  • Organize and structure Excel data for analysis and reporting
  • Perform basic and advanced sorting and filtering techniques
  • Apply subtotaling tools to summarize business data
  • Convert data ranges into structured Excel Tables
  • Create and customize PivotTables for interactive data analysis
  • Build multi-dimensional PivotTables using rows, columns, filters, and values
  • Reorganize and summarize PivotTable data dynamically
  • Use slicers, timelines, and filters to enhance report interactivity
  • Create PivotCharts to visually present business information
  • Understand the role of the Excel Data Model in modern reporting workflows
  • Understand the differences between traditional PivotTables and Power Pivot
  • Import and connect external data sources using Power Pivot
  • Create relationships between multiple data tables
  • Perform advanced calculations and aggregations using Power Pivot
  • Understand basic measures and calculations within Power Pivot
  • Analyze and summarize large datasets efficiently
  • Understand how Power Query, Power Pivot, and PivotTables work together
  • Recognize opportunities for AI-assisted reporting and analysis using Microsoft Copilot and ChatGPT
  • Design professional, scalable business reports and dashboards

Module 1 – Working with Excel Data Lists & Tables

  • Understanding structured Excel data
  • Best practices for organizing data lists
  • Creating and managing Excel Tables
  • Table formatting and structured references
  • Preparing data for analysis
  • Benefits of structured data for reporting and automation

Module 2 – Sorting, Filtering & Subtotaling Data

  • Basic and advanced sorting techniques
  • Custom sorting options
  • Applying AutoFilter and advanced filters
  • Using subtotal functions for grouped analysis
  • Managing and analyzing large datasets efficiently
  • Preparing clean datasets for PivotTables

Module 3 – Creating PivotTables

  • Understanding PivotTable concepts
  • Creating one-dimensional PivotTables
  • Working with rows, columns, values, and filters
  • Modifying PivotTable layouts and summaries
  • Formatting PivotTable reports
  • Using Recommended PivotTables
  • Creating PivotTables using the Excel Data Model

Module 4 – Advanced PivotTables & Interactive Reporting

  • Creating multi-dimensional PivotTables
  • Reorganizing data dynamically
  • Grouping dates and numeric data
  • Using slicers and timelines
  • Building interactive business reports
  • Creating PivotCharts for visual analysis
  • Designing dashboard-style summary reports

Module 5 – Introduction to Power Pivot

  • Understanding Power Pivot capabilities
  • Traditional PivotTables versus Power Pivot
  • Overview of Excel’s Data Model
  • Benefits of relational data analysis
  • Importing external data into Power Pivot
  • Understanding relationships between tables

Module 6 – Advanced Analysis with Power Pivot

  • Working with large datasets
  • Creating and managing relationships
  • Performing advanced calculations
  • Understanding calculated fields and measures
  • Grouping and summarizing relational data
  • Building scalable PivotTable reports
  • Using Power Pivot for business intelligence analysis

Module 7 – Modern Excel Reporting Workflows

  • Introduction to Power Query integration
  • Preparing data for Power Pivot analysis
  • Understanding the relationship between Power Query, Power Pivot, and PivotTables
  • Streamlining reporting workflows
  • Refreshing and maintaining reporting solutions
  • Reducing manual reporting tasks

Module 8 – Reporting, Dashboards & Visualization

  • Combining PivotTables, PivotCharts, and slicers
  • Designing interactive dashboards
  • Creating executive-level summary reports
  • Improving report usability and presentation
  • Best practices for dashboard reporting
  • Visual storytelling with Excel data

Module 9 – AI Tools & Productivity Enhancements

  • Introduction to Microsoft Copilot in Excel
  • Using ChatGPT to assist with reporting workflows
  • AI-assisted formula and report generation
  • Using AI tools to summarize business insights
  • AI-assisted troubleshooting concepts
  • Best practices for validating AI-generated results

Module 10 – Best Practices & Productivity Techniques

  • Optimizing workbook performance
  • Managing large reporting workbooks
  • Maintaining clean source data
  • Improving report scalability
  • Troubleshooting common PivotTable and Power Pivot issues
  • Best practices for professional Excel reporting solutions

 

Knowledge Source Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.


Cancellation Policy: 5 working days for full refund. Cancellations after that time are charged full tuition for the course.

For more information regarding refund, concerns, and/or program cancellation policies please contact our offices at 919-878-7100 ext. 22

Course Information

Course Level: 
Credit: CPE 8 Hours
Fee: $345Klarna
Length: 1 day
Hours: 8:30 a.m. - 4:15 p.m.
Delivery: Virtual Group Live

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