
Discover Power Query in Excel to clean, transform, and load data from multiple sources, merge tables with a few clicks, automating tasks, and delivering analysis-ready reports without formulas.
Power Query is a built-in Excel tool that extracts, transforms, and loads data from multiple sources, using M language to automate steps and combine data for Excel or Power BI.
Open the Power Query Editor in Excel, learn to access data sources, import data, and begin cleaning and transforming data for analysis.
Download resource files, clean and transform them with Power Query, load back into Excel, merge gender and department data with sales report, and add May data, refreshing January to April.
Download the Resource Files
Learn to import data using primary sources in Power Query, including Excel workbooks, tables, text/csv, pdfs, and folders, and distinguish them from secondary sources like xml and json.
Discover how to pull and transform data from secondary sources in Excel Power Query, including XML and JSON files, databases, cloud services, web APIs, OData, and even picture data.
Understand the Power Query Editor interface in Excel. Load data from table range, apply steps, and perform basic cleaning like changing types, removing or adding columns, then close and load.
Filter and remove blank spaces in Excel using Power Query, ensuring clean data from folders and transformed results. Import from folder, combine files, and load the data into your workbook.
Learn to split columns by delimiter in excel power query, using custom delimiters and text extraction. Compare splitting vs extracting and remove unused columns.
Learn how to change data types and rename columns in Power Query to clean and transform data.
Trim and clean text fields in Excel Power Query to remove leading and trailing spaces, using the trim and clean options to tidy data automatically.
Learn how to use replace values in Excel Power Query to remove extra spaces, collapse multiple spaces to one, fix spaces within phrases, and adjust capitalization for clean data.
Learn to apply text formatting in Excel by normalizing names and words to lowercase, uppercase, or capitalize each word using the transform and format options.
Rearrange and merge columns in power query, replacing values as needed, to create a new column that merges the sales month and financial year with a comma and space.
Learn to add a new calculated column in Excel Power Query by multiplying total units sold by total cost to compute revenue, and format it as currency.
Learn date formatting and cleaning in Excel Power Query by replacing us with USA, calculating days from order date to payment date, and adding a column showing days before delivery.
Merge two data tables in Excel using Power Query to join on the salesperson column and include gender and department.
Close and load the cleaned data back into Excel, wrapping up the queries in Power Query, then view and manage query connections to prepare for the next lecture.
Learn how to add the May sales report to the existing January–April data using Power Query, refresh to auto-update, clean fields, and format currency.
Add the May sales report to the January to April set and refresh Power Query to auto-include May and future months, with currency set to dollars and calculations ready.
Are you tired of manually cleaning and preparing messy Excel data every time? Then it's time to master Power Query Excel’s most powerful, time saving data tool.
This hands-on course is designed for beginners and Excel users who want to automate their data transformation process without using formulas or VBA. Power Query allows you to connect, combine, clean, and reshape data from different sources in just a few clicks.
Whether you're dealing with CSVs, Excel files, or web data, you’ll learn how to import, transform, and load data in a clean format ready for analysis. We’ll cover how to remove duplicates, split columns, unpivot data, filter records, and handle nulls all using Power Query’s visual, step-by-step interface.
You’ll also discover how to merge and append multiple tables, automate recurring tasks, and build reusable data prep workflows that save you hours every month. Finally, we’ll show how to load your transformed data directly into Excel and integrate it with PivotTables or dashboards.
This course is practical, project-based, and requires no coding knowledge. It’s perfect for business analysts, data professionals, or anyone working with Excel who wants to work smarter, not harder.
By the end, you’ll be fully equipped to use Excel Power Query like a pro turning chaotic spreadsheets into clean, analysis-ready data in minutes.