Power Query lets you import, clean, reshape and combine data in Microsoft Excel and Power BI without complex formulas or macros. This beginner-friendly 60-minute Power Query webinar explains the Extract, Transform and Load (ETL) process and what Power Query does behind the scenes.
You'll see how queries relate to source data and output tables, find your way around the Power Query Editor, and try the transformation techniques used most often in everyday reporting.
Practical demonstrations and real-world examples help you prepare clean, reliable datasets for analysis, so you leave with the core concepts you need to start using Power Query with confidence.
WHY SHOULD YOU ATTEND?
If you spend time each week or month cleaning spreadsheets, copying data between files or repeating the same preparation steps, Power Query offers a faster and more reliable way. It automates repetitive transformations, cuts manual errors and creates repeatable processes that improve data quality.
The session suits Excel users, business, financial, operations and other analysts, finance professionals, office administrators, and Power BI or BI beginners who prepare or clean data.
AREA COVERED
- Introduction to ETL concepts
- How Power Query works
- Source data vs query vs output tables
- Importing data with the Navigator
- Previewing data before loading
- Load vs Transform Data options
- Tour of the Power Query Editor
- Queries pane and Query Settings
- Applied Steps explained
- Managing data types
- Creating basic custom columns
- Merge vs Append explained
- Query dependencies
- Refreshing queries
- Connection Only vs loaded tables
- Close & Load options
- Beginner best practices and common mistakes
LEARNING OBJECTIVES
- Explain the Extract, Transform and Load (ETL) process
- Tell source data, queries and output tables apart
- Navigate the Power Query interface and import data with the Navigator
- Apply common transformations and see how Applied Steps record each one
- Choose and manage the right data types
- Distinguish Merge from Append operations
- Refresh queries when the source data changes
WHO WILL BENEFIT?
- Excel Users
- Business Analysts
- Data Analysts
- Reporting Analysts
- Financial Analysts
- Operations Analysts
- Sales Analysts
- Supply Chain Analysts
- HR Analysts
- Project Coordinators
- Finance Professionals
- Office Administrators
- Management Information (MI) Analysts
- Business Intelligence (BI) Beginners
- Power BI Beginners
- Professionals responsible for preparing or cleaning data in Excel
- Anyone new to Power Query who wants to automate repetitive data preparation tasks
If you spend time each week or month cleaning spreadsheets, copying data between files or repeating the same preparation steps, Power Query offers a faster and more reliable way. It automates repetitive transformations, cuts manual errors and creates repeatable processes that improve data quality.
The session suits Excel users, business, financial, operations and other analysts, finance professionals, office administrators, and Power BI or BI beginners who prepare or clean data.
- Introduction to ETL concepts
- How Power Query works
- Source data vs query vs output tables
- Importing data with the Navigator
- Previewing data before loading
- Load vs Transform Data options
- Tour of the Power Query Editor
- Queries pane and Query Settings
- Applied Steps explained
- Managing data types
- Creating basic custom columns
- Merge vs Append explained
- Query dependencies
- Refreshing queries
- Connection Only vs loaded tables
- Close & Load options
- Beginner best practices and common mistakes
- Explain the Extract, Transform and Load (ETL) process
- Tell source data, queries and output tables apart
- Navigate the Power Query interface and import data with the Navigator
- Apply common transformations and see how Applied Steps record each one
- Choose and manage the right data types
- Distinguish Merge from Append operations
- Refresh queries when the source data changes
- Excel Users
- Business Analysts
- Data Analysts
- Reporting Analysts
- Financial Analysts
- Operations Analysts
- Sales Analysts
- Supply Chain Analysts
- HR Analysts
- Project Coordinators
- Finance Professionals
- Office Administrators
- Management Information (MI) Analysts
- Business Intelligence (BI) Beginners
- Power BI Beginners
- Professionals responsible for preparing or cleaning data in Excel
- Anyone new to Power Query who wants to automate repetitive data preparation tasks