Collect, Combine, and Transform Data Using Power Query in Excel and Power BI

When data arrives in inconsistent formats, scattered across files, or in need of repeated cleanup, Power Query can turn tedious preparation into a repeatable process. Gil Raviv’s Collect, Combine, and Transform Data Using Power Query in Excel and Power BI shows how to work through those challenges, from foundational transformations to more robust queries and analysis.

Make unruly data workable

The book begins with Power Query’s core interface and basic preparation tasks, then builds toward combining data from multiple sources. Its examples and exercises explore practical complications such as mismatched tables, preserving context from file and worksheet names, and reshaping data through pivoting and unpivoting.

Go beyond the usual cleanup

As the material progresses, Raviv introduces the Power Query M formula language and examines query pitfalls that can make transformations fragile. The later chapters broaden the scope to text analytics and social network analytics, before a final project brings the book’s techniques together.

A practical route from clicks to M

The contents balance work in the Power Query Editor with an introduction to M, giving readers a way to move from interface-based transformations toward understanding and refining the formulas behind them. That progression is useful for people who want to build repeatable data workflows, not just fix a spreadsheet once.

For Excel and Power BI users

This book is suited to readers who prepare or combine data in Excel or Power BI and want a structured, exercise-based introduction to Power Query. Its broad selection of data challenges makes it relevant to analysts, business users, and learners developing their data-transformation skills.

Explore the methods behind cleaner, more consistent data work with this focused guide to Power Query.