Course Details

Microsoft Excel 365: Data Transformation & Analysis with Power Query and AI Tools

Description

This hands-on course is designed for business professionals and analysts who need to import, clean, combine, and transform data efficiently using Microsoft Power Query within Excel. Participants will learn how to automate repetitive data preparation tasks, consolidate information from multiple sources, and create repeatable data transformation processes that improve reporting accuracy and productivity.

Power Query has become one of the most important tools in modern Excel for data preparation and business analysis. Rather than manually cleaning and restructuring spreadsheets, users can build automated query processes that refresh with updated data in seconds.

This course incorporates modern Microsoft 365 capabilities, including AI-assisted productivity features such as Microsoft Copilot and ChatGPT, to help users accelerate data cleanup, troubleshoot query steps, generate transformation logic, and improve reporting workflows.

Through practical business exercises and real-world scenarios, participants will learn how to import data from multiple sources, clean and reshape datasets, merge and append tables, automate recurring transformations, and prepare high-quality data for PivotTables, dashboards, Power Pivot models, and business reporting.

This course is ideal for business analysts, accountants, financial professionals, operations teams, project managers, and Excel users who work with large or inconsistent datasets and want to streamline data preparation and reporting processes.

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:

  • Understand the role of Power Query in modern Excel data analysis workflows
  • Import data from Excel files, CSV files, databases, web sources, and other external sources
  • Clean and transform datasets using Power Query tools
  • Remove duplicates, errors, blanks, and inconsistencies from imported data
  • Split, merge, pivot, and unpivot columns
  • Append and combine multiple datasets into unified reports
  • Create repeatable and refreshable data transformation processes
  • Use query parameters and reusable transformation steps
  • Prepare data for PivotTables, dashboards, and Power Pivot models
  • Understand Power Query best practices for scalability and maintainability
  • Use Microsoft Copilot and ChatGPT to assist with query design, troubleshooting, and workflow automation
  • Improve reporting accuracy while reducing manual spreadsheet preparation time

Module 1 – Introduction to Power Query

  • Understanding Power Query and Get & Transform
  • Benefits of automated data transformation
  • Traditional Excel cleanup versus Power Query workflows
  • Overview of Power Query components
  • Understanding query refresh processes

Module 2 – Importing Data from Multiple Sources

  • Importing data from Excel workbooks
  • Importing CSV and text files
  • Connecting to databases
  • Importing web-based data
  • Working with folders and multiple files
  • Understanding data source settings

Module 3 – Cleaning & Transforming Data

  • Removing duplicates and blank rows
  • Changing data types
  • Replacing values and errors
  • Splitting and merging columns
  • Formatting text and dates
  • Filtering and sorting data
  • Standardizing inconsistent datasets

Module 4 – Combining & Reshaping Data

  • Appending queries
  • Merging queries
  • Understanding joins and relationships
  • Pivoting and unpivoting data
  • Grouping and aggregating records
  • Building reusable transformation processes

Module 5 – Advanced Query Techniques

  • Creating custom columns
  • Conditional columns
  • Using formulas within Power Query
  • Query dependencies and workflow management
  • Working with parameters
  • Introduction to M language concepts

Module 6 – Automating Data Preparation

  • Refreshing queries automatically
  • Managing recurring imports
  • Streamlining monthly reporting workflows
  • Creating scalable query processes
  • Reducing manual spreadsheet preparation

Module 7 – Power Query & Business Reporting

  • Loading queries into Excel Tables
  • Preparing data for PivotTables
  • Integrating Power Query with Power Pivot
  • Supporting dashboard development
  • Building executive-ready reports

Module 8 – AI Tools & Modern Excel Workflows

  • Introduction to Microsoft Copilot in Excel
  • Using ChatGPT to assist with Power Query workflows
  • AI-assisted query troubleshooting
  • Generating transformation logic with AI tools
  • Using AI to identify data quality issues
  • Practical AI workflows for business reporting
  • Validating AI-generated results and recommendations

Module 9 – Power Query Best Practices

  • Organizing queries and transformations
  • Managing large datasets efficiently
  • Improving workbook performance
  • Documentation and maintainability
  • Troubleshooting common Power Query issues
  • Designing scalable reporting solutions

Course Information

Course Level: 
Credit: CPE Hours: 4
Fee: $225Klarna
Length: 1/2 day

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