Combine Data from EVERY Folder, File & Sheet with Power Query in 5 MINUTES!

Are you tired of manually opening countless files, navigating through multiple sheets, and combining data spread across different folders? Whether you’re dealing with yearly reports, monthly profit and loss statements, or any other data scattered in countless files, Power Query can do it all in minutes!

In this tutorial, I’ll show you how to use Power Query in Excel to effortlessly combine data from multiple sheets, across multiple files, stored in multiple folders—all without breaking a sweat. No complex coding, no endless copy-pasting, just smart automation that makes your data tasks easy and efficient.

Here’s what we’ll cover:
Setting up the connection: Learn how to use “Get Data” to link your folder and access all files at once.
Navigating the Power Query window: I’ll explain the logic behind the Query Editor, showing how Power Query processes one file as a template for the rest.
Filtering for relevant data: We’ll filter out unnecessary sheets, isolate the ones we need, and extract the valuable data we’re after.
Data cleaning and transformation: Discover how to promote headers, remove unwanted rows, and clean up blank columns to make your data usable.
Adding missing information: We’ll pull in details like year and month from subfolder names or file metadata to create a complete dataset.
Merging everything into one table: Finally, we’ll merge all sheets into one clean table, ready for analysis.

By the end of this video, you’ll have a consolidated dataset that’s easy to analyze and update. Best of all, once Power Query is set up, updating your data is as simple as clicking “Refresh.”

This step-by-step guide is perfect for beginners and those new to Power Query, with clear explanations of each step, so you can feel confident every step of the way. Say goodbye to tedious data merging and hello to a smarter, faster workflow!

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Timestamps:
0:00 – Introduction: The Data Challenge
0:24 – Step 1: Connecting to Your Folder
0:40 – Step 2: Combine and Transform Data
1:10 – Step 3: Filter and Clean Data
1:54 – Step 4: Remove Extra Rows and Promote Headers
2:15 – Step 5: Filter Out Unnecessary Rows
2:45 – Step 6: Remove Blank Columns and Redundant Fields
3:20 – Step 7: Rename Source Column to Company
3:35 – Step 8: Extract Year from Folder Structure
4:00 – Step 9: Combine Month and Year Columns
4:23 – Conclusion: Data Combined and Ready for Analysis

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