M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query
📄 Viewing lite version
Full site ›
Book Details
Author(s)Puls, Ken
PublisherHoly Macro! Books
ISBN / ASIN1615470344
ISBN-139781615470341
AvailabilityIn Stock.
Sales Rank66,943
CategoryComputers
MarketplaceUnited States 🇺🇸
Description ▲
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.
Similar Products ▼
- Power Pivot and Power BI: The Excel User's Guide to DAX, Power Query, Power BI & Power Pivot in Excel 2010-2016
- Collect, Combine, and Transform Data Using Power Query in Excel and Power BI (Business Skills)
- Supercharge Power BI: Power BI Is Better When You Learn to Write DAX
- The Definitive Guide to DAX: Business intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel (2nd Edition) (Business Skills)
- Analyzing Data with Power BI and Power Pivot for Excel (Business Skills)
- The Definitive Guide to DAX: Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI (Business Skills)
- Supercharge Excel: When you learn to Write DAX for Power Pivot
- Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence
- Master Your Data with Excel and Power BI: Leveraging Power Query to Get & Transform Your Task Flow
- Beginning DAX with Power BI: The SQL Pro's Guide to Better Business Intelligence
More Books in Computers
The Good Web Site Guide 2006: The Completely Revised, …
View
The Pentium Microprocessor
View
Advanced Intel Microprocessors: 80286, 80386, And 80486
View
Differential Equations: Matrices and Models
View
Digital Experiments: Emphasizing Troubleshooting (Merr…
View
Data Structures for Computer Information Systems
View
The Little LISPer, Third Edition
View
Inside Networks
View
Computer Graphics Using Open GL (2nd Edition)
View