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Self-Service ETL, Data Preparation Pipelines, and the M Language for Analysts
Stop cleaning the same data every month. Learn how to automate data preparation with Power Query, build professional ETL pipelines, master the M language, and create refreshable, auditable workflows that prepare data for Excel, Power BI, and modern analytics.
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$9.90
$16.00
About the Book
Most analysts spend more time preparing data than analyzing it.
This book shows you how to change that.
Data Transformation with Power Query is the third volume of the Excel for Data Analytics & Business Intelligence Pathway and the definitive guide to building professional, refreshable, and auditable data preparation pipelines inside Microsoft Excel.
Instead of relying on repetitive copy-and-paste operations, fragile formulas, and manual data cleaning, you will learn how to automate the entire preparation process using Power Query and the M language. Every transformation becomes documented, reproducible, and reusable—turning hours of repetitive work into a single-click refresh.
Inside this book, you will learn how to:
Unlike books that teach Power Query as a collection of ribbon commands, this volume teaches it as a professional data engineering discipline. The focus is not merely on using the software—it is on designing robust data preparation systems that can be trusted, audited, and maintained.
This book is ideal for:
Whether you are preparing data for Excel dashboards, Power BI models, SQL-based analytics, or enterprise reporting, this book will help you replace manual work with automated, repeatable analytical pipelines.
Professional analytics begins with clean data. This book teaches you how to build it.
About the Author
FRU Kingsly is a data professional, analytics educator, and technology consultant specializing in data analytics, business intelligence, data engineering, and analytical communication. His work focuses on helping individuals and organizations develop the technical skills and analytical thinking required to transform raw data into trusted business insight.
Through consulting, technical training, and professional curriculum development, he has worked across areas including SQL, Power BI, data warehousing, cloud analytics, visualization, and enterprise reporting systems. His approach emphasizes that analytics is not only about tools, but also about judgment, clarity, structure, and responsible decision-making.
Data Analytics Foundations was written to provide the kind of rigorous, structured analytical education that many professionals never formally receive: one that teaches not only how to perform analysis, but how to think analytically before touching the data.
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