Overview:
10 Power Query Fixes That Eliminate 80% of Excel Data Cleanup Work is a practical, hands-on session focused on the most impactful Power Query techniques used in everyday business reporting. Rather than exploring every feature, this webinar concentrates on the small set of transformations that eliminate repetitive cleanup work, standardize messy data, and automate recurring preparation steps.
Participants will learn how to consolidate files, reshape datasets, correct inconsistencies, and build reusable transformation workflows. By the end of the session, attendees will be able to confidently clean and reshape raw data-and clearly explain what changes were made and why-using a repeatable process that reduces manual effort.
Prerequisites
This is not a beginner Excel course.
Participants must:
- Use Excel 365 (Power Query is built-in)
- Be comfortable working with Excel spreadsheets
- Understand basic Excel tables
- Have experience importing data into Excel
- Understand howText, IF, and VLOOKUP/XLOOKUP work
This session focuses on Power Query transformations, not PivotTables or dashboard design. Attendees who are new to Excel or unfamiliar with working with datasets may find the pace too advanced.
No prior Power Query experience is required, but participants should be comfortable navigating Excel menus and worksheets.
Why you should Attend:
- Are you tired of manually copying and combining monthly files?
- Do you spend more time cleaning data than analyzing it?
- Have you ever rebuilt the same cleanup steps over and over again for recurring reports?
- Does inconsistent formatting or messy exports slow down your reporting process?
- If data preparation is consuming most of your reporting time, learning a smarter approach can dramatically reduce repetitive work and improve consistency
Areas Covered in the Session:
- Automatically combine multiple files into a single, consistent dataset, eliminating repetitive monthly consolidation work
- Stack data from different departments, time periods, or regions into one clean table, removing the need for manual copy-and-paste
- Join related datasets accurately and efficiently, replacing complex lookup formulas at scale
- Instantly remove irrelevant or unwanted data, focusing only on what matters for analysis
- Eliminate clutter and simplify datasets, making reports easier to manage and understand
- Separate combined text fields into usable components, turning messy exports into structured information
- Correct data type issues that break calculations and summaries, ensuring numbers, dates, and text behave properly
- Summarize large datasets into meaningful totals and metrics without manual formulas, accelerating reporting workflows
- Standardize inconsistent values to improve reporting accuracy, preventing mismatched categories and messy outputs
- Apply business rules and classifications automatically instead of manually tagging rows, reducing repetitive edits
- Teach Excel patterns by example instead of complex formulas, allowing you to generate new columns simply by demonstrating the desired output
- Each transformation is demonstrated in a practical business context and designed to be reusable for recurring reports
Who Will Benefit:
- Business Analysts
- Financial Analysts
- Operations Managers
- Supply Chain Analysts
- HR Analysts
- Marketing Analysts
- Reporting Specialists
- Data Coordinators
- Anyone responsible for preparing data before analysis