Kopec A Learning Power Query Simplify data cleaning and analysis Excel's 2025
Category: eBooks
- views: 247
- date: 10 September 2025
- posted by: BeMyLove
Kopec A Learning Power Query Simplify data cleaning and analysis Excel's 2025 | 24.98 MB
Title: Learning Power Query
Author: Adam Szczepan Kopeć
Description:
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.
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 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 Contents
1. Getting Started with Power Query
2. Advanced Data Connections and Imports
3. Combining Data Queries
4. Grouping Data
5. Pivot and Unpivot
6. Adding Columns
7. Logical Operations and Conditional Columns
8. Parameters and Query Parameterization
9. Creating Custom Functions
10. Examples Using M Language
11. Optimization and Extensions
DOWNLOAD:
https://rapidgator.net/file/16dd670decfd1d3e2943806c2e3e77d8/Kopec_A._Learning_Power_Query._Simplify_data_cleaning_and_analysis..Excels_2025.rar
https://nitroflare.com/view/AB3DBF0C441FAD0/Kopec_A._Learning_Power_Query._Simplify_data_cleaning_and_analysis..Excels_2025.rar
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.
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 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 Contents
1. Getting Started with Power Query
2. Advanced Data Connections and Imports
3. Combining Data Queries
4. Grouping Data
5. Pivot and Unpivot
6. Adding Columns
7. Logical Operations and Conditional Columns
8. Parameters and Query Parameterization
9. Creating Custom Functions
10. Examples Using M Language
11. Optimization and Extensions
DOWNLOAD:
https://rapidgator.net/file/16dd670decfd1d3e2943806c2e3e77d8/Kopec_A._Learning_Power_Query._Simplify_data_cleaning_and_analysis..Excels_2025.rar
https://nitroflare.com/view/AB3DBF0C441FAD0/Kopec_A._Learning_Power_Query._Simplify_data_cleaning_and_analysis..Excels_2025.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||