Collect, Combine, and Transform Data Using Power Query in Power BI and Excel, 2nd Edition
- By Daniil Maslyuk, Gil Raviv
- Published Dec 12, 2024 by Microsoft Press. Part of the Business Skills series.
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Description
- Copyright 2025
- Edition: 2nd
- eBook
- ISBN-10: 0-13-811582-6
- ISBN-13: 978-0-13-811582-1
Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface. Whether youre using Power BI, Excel, or other Microsoft products, Power Querys capabilities are at your fingertips. Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls. In this updated edition, youll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project. By the end, youll possess the expertise to handle any data and convert it into actionable insights.
You will learn how to:
- Effortlessly prepare data by utilizing Power Query in Power BI and Excel to transform your data quickly and efficiently
- Overcome common data preparation problems with intuitive mouse clicks and straightforward formula edits
- Combine data from various sources, multiple queries, and mismatched tables with ease
- Reshape tables to suit your analysis needs
- Use the Power Query M formula language to create flexible data mashups and tailor transformations to your requirements
- Address and overcome collaboration challenges by using Power Querys powerful features
- Gain crucial insights from text feeds by enhancing your data analysis capabilities
- Profile data, diagnose queries, improve query performance, and more!
About This Book
- For everyone who wants to get more done with Power Query in less time
- For business and financial professionals, developers, entrepreneurs, students, and others who need to efficiently manage and analyze data
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Sample Content
Table of Contents
CHAPTER 1 Introduction to Power Query
CHAPTER 2 Basic Data Preparation Challenges
CHAPTER 3 Combining Data from Multiple Sources
CHAPTER 4 Combining Mismatched Tables
CHAPTER 5 Preserving Context
CHAPTER 6 Unpivoting Tables
CHAPTER 7 Advanced Unpivoting and Pivoting of Tables
CHAPTER 8 Addressing Collaboration Challenges
CHAPTER 9 Introduction to the Power Query M Formula Language
CHAPTER 10 From Pitfalls to Robust Queries
CHAPTER 11 Data Profiling
CHAPTER 12 Basic Text Analytics
CHAPTER 13 Advanced Text Analytics: Extracting Meaning
CHAPTER 14 Query Diagnostics
CHAPTER 15 Power Query Online
CHAPTER 16 Final Project: Combining It All Together