The Ultimate Guide to Functions in Power Query: Turn Raw Data Into Actionable Insights
Motamedisedeh, Omid
- 出版商: Apress
- 出版日期: 2023-12-02
- 售價: $1,710
- 貴賓價: 9.5 折 $1,625
- 語言: 英文
- 頁數: 392
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1484297539
- ISBN-13: 9781484297537
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相關分類:
大數據 Big-data、Data Science
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相關主題
商品描述
This book is a complete guide to using functions in Power Query and is designed to help users of all skill levels learn and master its various functions.
The Ultimate Guide to Functions in Power Query begins with an introduction to Power Query and an overview of the different types of functions available, along with detailed explanations of how to use each of them. You'll see how to leverage power functions to process and transform large datasets from various sources and learn advanced techniques such as creating custom functions and using conditional statements. The book also covers best practices for using functions, including tips on how to optimize query performance and troubleshoot common errors. Using practical example applications, Author Omid Motamedisedeh demonstrates how to optimize your data processing workflows, saving time and boosting productivity.
By the end of the book, readers will have a deep understanding of Power Query functions and be able to apply their knowledge to a wide range of data analysis tasks.
What You Will Learn
- Master the fundamentals of Power Query, including how to load and transform data from various sources
- Understand all the functions available in Power Query, including text, date/time, logical, numeric, and more
- Use functions to transform data and perform complex calculations
- Employ advanced techniques such as custom functions, conditional statements, and working with parameters
- Optimize query performance, handle errors, and use the M language effectively
- Use real-world examples and exercises to hone your skills and gain practical experience with the tool
Who This Book Is For
Anyone who wants to learn how to use functions in Power Query to transform and analyze data. This includes data analysts, business analysts, Excel users, and data scientists. Readers should have a basic understanding of Excel and data analysis concepts, but may be new to Power Query and functions.