Turn messy CSV files into a fully automated Excel Import-Transform-Clean system that displays the final data on a dashboard using Power Query, PivotTables, slicers, and charts.
In this tutorial, I'll show you how to import raw CSV data into Excel, clean and transform it step-by-step with Power Query, and build a dashboard that updates automatically whenever the source file changes.
We'll cover real-world Excel data cleaning techniques including:
Fixing broken date columns
Removing top rows and blank rows
Promoting headers correctly
Filtering out incomplete records
Cleaning text values and extracting numbers
Splitting and transforming product names
Converting text into proper number formats
Creating calculated columns without formulas
Building PivotTables and charts
Adding slicers for interactive filtering
Auto-refreshing reports when new data is added
You'll also learn several beginner-friendly Power Query tricks that make data cleanup dramatically faster than manual Excel work.
Topics covered:
Power Query in Excel
CSV imports
Data transformation
Automated dashboards
PivotTables
Pivot charts
Slicers
Excel reporting automation
Text extraction
Data cleanup workflows
Refreshable Excel reports
This is a practical Excel tutorial designed for analysts, office workers, finance teams, operations professionals, and anyone tired of manually cleaning spreadsheet data every week.
If you work with messy Excel exports, CSV files, inventory reports, sales reports, or downloaded system data, this workflow can save you a massive amount of time.