000			03278cam a2200277zu 4500
001			88974253
003			FRCYB88974253
005			20251020124312.0
006			m o d
007			cr un
008			251020s2025 fr | o|||||0|0|||eng d
020			_a9789365891539
035			_aFRCYB88974253
040			_aFR-PaCSA _ben _c _erda
100	1		_aSzczepan Kope?, Adam
245	0	1	_aLearning Power Query _bSimplify data cleaning and analysis with Excel’s most powerful tool (English Edition) _c['Szczepan Kope?, Adam']
264		1	_bBPB Publications _c2025
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aSzczepan Kope?, Adam
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88974253 _qtext/html _a
520			_aDescriptionIn 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.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 forThis book is for data analysts, Excel professionals, financial modelers, and business intelligence developers who want to push Power Query beyond its interface. It supports those shaping data, enabling precise, scalable, and maintainable transformations using M language.Table of Contents1. Getting Started with Power Query2. Advanced Data Connections and Imports3. Combining Data Queries4. Grouping Data5. Pivot and Unpivot6. Adding Columns7. Logical Operations and Conditional Columns8. Parameters and Query Parameterization9. Creating Custom Functions10. Examples Using M Language11. Optimization and Extensions
999			_c1556908 _d1556908