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Total Size:
25.0 MB
Info Hash:
AB9BCEC9051D3C34A7BC310ED8FF8F357D362694
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Added:
Sept. 10, 2025, 10:59 a.m.
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(Last updated: Sept. 10, 2025, 11:02 a.m.)
| File | Size |
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| Code.zip | 11.1 KB |
| Kopec A. Learning Power Query. Simplify data cleaning and analysis..Excel's 2025.pdf | 25.0 MB |
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25.0 MB
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2025-09-10
| Uploaded by andryold1 | Size 25.0 MB | Health [ 45 /11 ] | Added 2025-09-10 |
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SOURCE: Kopec A. Learning Power Query. Simplify data cleaning and analysis..Excel's 2025
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MEDIAINFO
Textbook in PDF format In a time where data drives decision-making, Excel continues to be a vital resource for professionals. Power Query greatly enhances its functionality. As businesses increasingly seek automation and scalable solutions, proficiency in Power Query and the M language is a crucial advantage for data practitioners. This book fulfills that demand by combining technical accuracy with practical examples. Beginning with basic transformations and progressing to advanced query logic, parameterization, and custom M solutions, each chapter fosters technical expertise. Readers will discover how to import data from diverse sources, enhance performance, troubleshoot queries, and tackle intricate business problems using clean and efficient M code. The book prioritizes clarity and control, providing alternative methods, performance optimization tips, and refined coding techniques throughout. The Chapter 2 builds on that foundation by focusing on advanced data connections and import methods. You will learn how to retrieve data from named ranges, Excel workbooks, folders, and Access databases, and how to handle hidden objects, inconsistent structures, and multiple file imports. We will also cover ways to automate query refresh, using both built-in settings and Visual Basic for Applications (VBA). These techniques will prepare you to work efficiently with more complex and dynamic data sources in real-world scenarios. By the end of this chapter, you will be able to import data from a variety of sources, including Excel tables, named ranges, folders, and Access databases. You will learn how to identify and manage hidden objects, resolve issues with inconsistent data structures, and handle default column names during the import process. The chapter will also guide you through cleaning and transforming imported data by filtering, expanding, and combining content from multiple files or sheets. In addition, you will apply proper data types and structure queries for use in reports and dashboards. Finally, you will discover how to automate query refresh using both Power Query settings and VBA, ensuring your data stays current with minimal manual effort. By the end of the book, readers will be prepared to create Power Query workflows that extend well beyond the GUI. They will not only gain practical experience with the M language but also cultivate the ability to structure, refine, and optimize queries with accuracy, acquiring essential skills for automation and strategic data analysis. What you will learn: Import data from Excel, folders, and various external sources. Transform, filter, and reshape data effectively. Develop dynamic parameters, lists, and filters driven by queries. Construct and repurpose custom M functions for use across different files. Apply techniques for ranking, aggregation, and custom sorting. Enhance query performance by employing clean and efficient M code. Automate complex transformations that exceed the capabilities of the GUI. Address business challenges using nested and recursive logic. Who this book is for: This book is for developers, architects, and solution consultants who are now exploring cloud-native architecture principles for design and development with Agile and DevOps to modernize existing applications or create brand-new cloud-native products. Contents: Getting Started with Power Query Advanced Data Connections and Imports Combining Data Queries Grouping Data Pivot and Unpivot Adding Columns Logical Operations and Conditional Columns Parameters and Query Parameterization Creating Custom Functions Examples Using M Language Optimization and Extensions
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