Business & Entrepreneurship Microsoft Excel

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 logo
Quick Course Facts
20
Self-paced, Online, Lessons
20
Videos and/or Narrated Presentations
7.3
Approximate Hours of Course Media
About the Excel Power Query: Cleaning and Transforming Real-World Data Course

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.

Course Lessons

Full lesson breakdown

Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.

Foundations

2 lessons

This lesson places Power Query inside the modern Excel workflow: how it changes data preparation from manual editing into a repeatable refresh process. Students learn what Power Query is, where it fit…
In this lesson, Professor Michael Edwards introduces the Power Query Editor as the workspace where Excel users inspect, clean, reshape, and document data preparation logic before loading results back …

Getting Data In

2 lessons

In this lesson, students learn how to bring real-world source files into Power Query from three common starting points: Excel tables, CSV files, and other Excel workbooks. The focus is not on advanced…
This lesson shows how to prepare messy source files before building Power Query transformations. Learners will focus on the practical decisions that make refreshable queries more reliable: preserving …

Core Cleaning Skills

4 lessons

In this lesson, students learn how to turn messy imported data into a usable Power Query table by fixing header rows, removing non-data clutter, and keeping only the rows that belong in the dataset. T…
In this lesson, students learn how Power Query interprets data types, why automatic type detection can create hidden problems, and how to apply reliable conversions for numbers, dates, currency, perce…
In this lesson, students learn how to clean the text fields that commonly break reports, joins, filters, and pivot tables: extra spaces, hidden characters, inconsistent capitalization, mixed codes, an…
In this lesson, learners practice the core cleanup decisions that make Power Query workflows reliable: identifying nulls and blanks, standardizing missing values, removing or preserving duplicate reco…

Column Transformations

2 lessons

In this lesson, students learn how to reshape messy text columns in Power Query using common business-cleaning patterns: splitting combined fields, merging related fields, extracting useful substrings…
In this lesson, Professor Michael Edwards shows how to create new columns in Power Query that classify, calculate, and standardize real-world business data before it reaches the worksheet. Learners wi…

Reshaping Data

2 lessons

Cross-tab reports are common in real business files: months across columns, regions down rows, and values scattered through a wide grid. They look readable to people, but they are difficult to filter,…
In this lesson, students learn how to reshape awkward Excel layouts into clean, analysis-ready tables using Power Query. The focus is on practical restructuring patterns: filling down repeated labels,…

Summarizing Data

1 lesson

In this lesson, students learn how to summarize transaction-level data in Excel Power Query without manually copying, sorting, or rebuilding pivot-style reports each month. The focus is on practical p…

Combining Data

2 lessons

In this lesson, students learn how to append monthly tables in Power Query to create one clean, repeatable data stack. The focus is on combining files or worksheets that share the same business meanin…
In this lesson, learners use Power Query merges to enrich a messy business dataset with lookup tables and reference data. The focus is on practical join decisions: choosing the correct key columns, se…

Repeatable Workflows

2 lessons

In this lesson, students learn how to use Power Query’s From Folder connector to import every compatible file in a folder and combine them into one repeatable dataset. The lesson focuses on a practica…
This lesson teaches students how to manage Power Query workbooks that contain multiple connected queries, reusable parameters, and scheduled or manual refresh behavior. Students learn how to read quer…

Quality Control

2 lessons

In this lesson, students learn how to diagnose and repair Power Query workflows when source files, worksheet names, column headers, data types, or folder contents change. The focus is not on memorizin…
In this lesson, Professor Michael Edwards shows how to validate a Power Query cleaning workflow before relying on its output. The focus is practical quality control: comparing row counts, checking tot…

Applied Project

1 lesson

In this capstone lesson, learners assemble a complete Power Query workflow that turns messy source files into a clean, refreshable reporting dataset. The focus is on making practical design decisions:…

Take this course at your own pace

Create a free account to enroll, keep your progress, and preview lessons — it takes 30 seconds.

Create a Free Account
About Your Instructor
Professor Michael Edwards

Professor Michael Edwards

Professor Michael Edwards guides this AI-built Virversity course with a clear, practical teaching style.