M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query,New

M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query,New

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Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and M is the name of the programming language created by it. As more business intelligence pros begin using Power Pivot, they find that they do not have the Excel skills to clean the data in Excel; Power Query solves this problem. This book shows how to use the Power Query tool to get difficult data sets into both Excel and Power Pivot, and is solely devoted to Power Query dashboarding and reporting.

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Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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Warranty

We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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Frequently Asked Questions

  • Q: What is the main focus of 'M Is for (Data) Monkey'? A: The book primarily focuses on the M programming language used in Power Query, which is part of Microsoft's Power BI. It aims to help users effectively clean and manipulate data for use in Excel and Power Pivot.
  • Q: Who is the author of this book? A: The author of 'M Is for (Data) Monkey' is Ken Puls, who is known for his expertise in Excel and Power BI.
  • Q: What types of readers would benefit from this book? A: This book is ideal for business intelligence professionals, data analysts, and anyone looking to enhance their Excel skills, particularly in data cleaning and dashboarding using Power Query.
  • Q: How many pages are in 'M Is for (Data) Monkey'? A: 'M Is for (Data) Monkey' contains 212 pages, providing comprehensive coverage of the M language and its applications.
  • Q: Is this book suitable for beginners in data analysis? A: Yes, the book is structured to help beginners understand the M language and Power Query, making it accessible for those new to data analysis.
  • Q: What format is this book available in? A: 'M Is for (Data) Monkey' is available in paperback format, making it convenient for readers who prefer physical books.
  • Q: When was 'M Is for (Data) Monkey' published? A: The book was published on December 1, 2015.
  • Q: Does the book cover practical examples of using Power Query? A: Yes, it includes practical examples and case studies that demonstrate how to use Power Query for data manipulation and reporting.
  • Q: Is there any prerequisite knowledge needed to read this book? A: While prior knowledge of Excel is beneficial, the book is designed to be beginner-friendly, guiding readers through the basics of Power Query and the M language.
  • Q: Can this book help with learning Power BI as well? A: Yes, since Power Query is a key component of Power BI, the skills learned in this book will also be applicable to using Power BI effectively.