The Ultimate Power Query Cookbook for Power BI and Excel

Key Features
● Practical approaches to cleansing, connecting, and transforming data in Power Query.
● Real-life examples that readers can apply to their own work.
● Master Power Query for Excel and Power BI with step-by-step recipes.

Description
“The Ultimate Power Query Cookbook for Power BI and Excel" serves up easy-to-follow recipes that transform data into meaningful insights. You will learn to clean messy files, combine datasets, and even use AI magic to Power BI and Excel.

This book will walk you through the basics of getting connected to data with Power Query. You will understand how to ingest data from files, folders, databases, websites, APIs, and other third-party sources. Once connected, you will learn how to transform the data so it is ready for your use. We will clean up columns, filter, replace, extract, and classify data in Power Query to meet your needs. The book offers over 100 practical recipes, ensuring you understand each step with clear explanations and examples. Lastly, we will go over advanced techniques to help optimize and simplify your transformations allowing fast refreshes all while helping you manage them in the future.

This book will help you know how to apply these techniques and recipes to your data all while understanding the implications of making certain decisions. This will enable you to have better conversations with other data professionals who are providing data for your use.

Who this book is for
Novice or expert, this book is designed for all Excel users, data analysts, Power BI power users, business professionals and data enthusiasts to get the most out of your data solutions when transforming your data in Power Query.

Table of Contents
1. Introduction to Power Query
2. Connect to File-Based Data Sources
3. Connect to Web-Based Data Sources
4. Connect to Database Sources
5. Connect to Third-Party Data Sources
6. Managing Data Types
7. Transforming Columns
8. Cleansing Columns
9. Creating New Columns
10. Combining and Manipulating Queries
11. Using Python, R, and AI
12. Indexing
13. Parameters
14. Functions
15. Advanced Web Connections
16. Manipulating Supporting Queries