Excel Power Query: Cleaning and Transforming Real-World Data
Build repeatable data-cleaning workflows in Excel using Power Query, practical transformation patterns, and real business datasets.
Excel Power Query: Cleaning and Transforming Real-World Data is a practical Business course for anyone who needs cleaner, more reliable data in Excel. You will learn how to Build repeatable data-cleaning workflows in Excel using Power Query, practical transformation patterns, and real business datasets. By the end, you will be able to turn messy source files into refreshable tables ready for reporting and analysis.
Build Cleaner Business Data Workflows With Excel Power Query
- Learn practical transformation patterns for cleaning, reshaping, combining, and validating real-world data.
- Work with Excel tables, CSV files, workbooks, and folder-based imports used in everyday Business reporting.
- Create repeatable workflows that reduce manual cleanup and make refreshes more dependable.
- Complete an applied project that produces a clean, refreshable reporting dataset.
This course teaches Excel Power Query for cleaning and transforming Business data into analysis-ready datasets.
You will start with the foundations of Power Query in the modern Excel workflow, including how to navigate the Query Editor, understand Applied Steps, and bring data in from common source types. From there, you will learn how to prepare messy source files so your transformations are reliable instead of fragile.
The course then moves into core cleaning skills such as fixing headers, removing clutter, keeping needed rows, managing data types, resolving locale issues, and handling conversion errors. You will also clean inconsistent text values, spaces, case, codes, labels, nulls, blanks, duplicates, and error values using methods that reflect real Business data problems.
As you progress, you will reshape awkward reports, split and merge columns, create conditional columns and custom calculations, unpivot cross-tab reports, and summarize transaction data through sorting, filtering, grouping, and aggregation. You will also append monthly tables, merge lookup data, combine all files from a folder, manage query dependencies, use parameters, and control refresh behavior.
Quality control is built into the workflow, with lessons on troubleshooting broken queries, adapting to changing source structures, validating results, and documenting transformation logic. After completing Excel Power Query: Cleaning and Transforming Real-World Data, you will be able to replace repetitive manual cleanup with structured, refreshable Power Query processes that make your Business reporting faster, cleaner, and easier to trust.
Full lesson breakdown
Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.
Foundations
2 lessons
Getting Data In
2 lessons
Core Cleaning Skills
4 lessons
Column Transformations
2 lessons
Reshaping Data
2 lessons
Summarizing Data
1 lesson
Combining Data
2 lessons
Repeatable Workflows
2 lessons
Quality Control
2 lessons
Applied Project
1 lesson
Professor Michael Edwards
Professor Michael Edwards guides this AI-built Virversity course with a clear, practical teaching style.