Master Data Cleaning Essentials with Power Query And Excel: Excel learning resource
Master Data Cleaning Essentials with Power Query And Excel
Extracted from saved YouTube search results - titled "Master Data Cleaning Essentials with Power Query And", filed under Power Query for its data cleaning coverage. It's a video from Simon Sez IT — use it to practice Get data into Power Query and Clean and transform columns.
Master Data Cleaning Essentials with Power Query And Excel
Simon Sez IT
Open on YouTube (opens in a new tab)What to practice while watching
- Get data into Power Query
- Clean and transform columns
- Merge and append queries
Recommended learning path
Start by watching the lesson once without pausing, then reopen Excel and rebuild the example with your own small dataset. Save one clean practice workbook before moving to the next topic.
Source details
- Channel: Simon Sez IT
- Format: video
- Level: Intermediate
- Topic: Power Query
- Listing source: saved YouTube search capture, filed by topic
Go deeper with this skill
Create a repeatable cleanup and refresh process instead of doing the same manual edits every month. For this article, the goal is to practice: Extracted from saved YouTube search results - titled "Master Data Cleaning Essentials with Power Query And", filed under Power Query for its data cleaning coverage. It's a video from Simon Sez IT — use it to practice Get data into Power Query and Clean and transform columns.
Practice workbook setup
Use a raw export with extra columns, inconsistent text, blanks, or repeated monthly files.
Practice workflow
- Import the data into Power Query and rename every meaningful step.
- Remove columns only after confirming they are not needed downstream.
- Set data types deliberately for dates, numbers, IDs, and text.
- Load the cleaned result to a table and refresh it after changing the source.
Quality checks
- Applied steps are named clearly enough to review later.
- Data types are correct before loading the result.
- Refresh works without manual cleanup in the worksheet.
Common mistakes
- Editing the loaded table instead of the query steps.
- Removing columns before checking whether reports depend on them.
- Ignoring errors caused by new values or changed source headers.
Next actions
- Create a small refresh checklist and keep it beside the report.
- Try combining two files or appending a new month to test repeatability.
Formula focus: even if this workflow is not formula-heavy, add one check cell that confirms the final output still matches the source data.
