Books / Allington Supercharge Excel

Learn How to Write DAX for Power Pivot
1. Auflage 2025
ISBN: 978-1-83664-674-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 219 Seiten

This guide empowers you to master Excel and Data Analysis Expressions (DAX), guiding you from the basics of data modeling to advanced DAX functions. You'll begin by learning how to load and structure data effectively, then dive into essential DAX functions like SUM, COUNT, and FILTER, which are crucial for accurate data manipulation. As you progress, the book covers advanced concepts such as context transition, calculated columns, and time intelligence, enabling you to perform sophisticated data analyses.

By incorporating hands-on exercises, the guide ensures that you can apply what you've learned to real-world scenarios. You'll also explore advanced topics like disconnected tables and cube formulas, expanding your ability to create dynamic models and dashboards. Towards the end, the guide introduces transitioning from Excel to Power BI, helping you leverage your Excel expertise in a more powerful environment.

This book is perfect for technical professionals and Excel power users looking to enhance their data analysis skills and transition smoothly to Power BI. By the end, you'll have the knowledge and tools to take your data modeling and analysis to the next level.

Autoren/Hrsg.

Books, MrExcel's Holy Macro!

Allington, Matt

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

Books MrExcel's Holy Macro! :

Holy Macro! Books has been providing top-quality books on Excel, Power Query, and Power BI since 2002. They have published over 100 titles by 30 authors, including numerous Microsoft MVPs.Allington Matt :

Matt Allington is a Microsoft Data Platform MVP specializing in teaching and helping business users leverage the Power BI suite of tools to achieve positive business outcomes. Matt has a unique work experience history having spent 15 years working in commercial roles using data, and 10 years working in IT roles supporting business users to get the data they need. A combination of this work history and Matt's rare skill and ability to clearly explain technical concepts makes this book such a valuable stand-alone learning resource.