Data Cleaning with Power Query (Step-by-Step) | Excel Fundamentals Ep. 4

Описание: In Episode 4 of the Excel Fundamentals for Data Analysts series, we take data cleaning one step further by using Power Query.

Data Source: https://www.kaggle.com/datasets/desol...

If you watched Episode 3, where we cleaned data manually in Excel, this episode shows you how to replicate those same cleaning steps using Power Query — in a more automated, repeatable, and scalable way.

Power Query is a must-have skill for data analysts, especially if you plan to work with Power BI, SQL pipelines, or recurring datasets.

📌 What you’ll learn in this episode:

What Power Query is and why it matters for data analysts

Cleaning data using Power Query transformations

Splitting columns (Text to Columns) using Power Query

Using Replace Values (Find & Replace)

Formatting and standardising text and numbers

Preparing clean, analysis-ready data using Power Query

Why Power Query is better than manual cleaning for repeatable workflows

This episode helps you understand when to clean data in Excel vs when to use Power Query, a key distinction in real-world data work.

🎯 Who this video is for:

Aspiring data analysts

Excel users transitioning into Power BI

Anyone working with messy or recurring datasets

Beginners learning Power Query fundamentals


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