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Supercharge Excel Learn How to Write DAX for Power Pivot ["Books, Mrexcel'S Holy Macro!", 'Allington, Matt']

Par : Contributeur(s) : Type de matériel : TexteTexteÉditeur : Packt Publishing 2024Description : pType de contenu :
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  • 9781836646754
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Ressources en ligne : Abrégé : Unlock Excel's full potential with data modeling and DAX. Learn step-by-step techniques to elevate your data analysis game.Key FeaturesComprehensive coverage of foundational to advanced DAX functionsStep-by-step approach with practical examplesAdequate bridge between Excel skills to Power BI proficiencyBook DescriptionThis 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.What you will learnUnderstand data modeling conceptsLoad and transform data efficientlyApply DAX functionsUse iterators for advanced calculationsImplement context transition techniquesMaster advanced Excel-to-Power BI skillsWho this book is forIdeal for data analysts, Excel users, and business intelligence professionals looking to deepen their data modeling and DAX skills. Basic knowledge of Excel is recommended, but no prior experience with DAX or Power BI is required.
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Unlock Excel's full potential with data modeling and DAX. Learn step-by-step techniques to elevate your data analysis game.Key FeaturesComprehensive coverage of foundational to advanced DAX functionsStep-by-step approach with practical examplesAdequate bridge between Excel skills to Power BI proficiencyBook DescriptionThis 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.What you will learnUnderstand data modeling conceptsLoad and transform data efficientlyApply DAX functionsUse iterators for advanced calculationsImplement context transition techniquesMaster advanced Excel-to-Power BI skillsWho this book is forIdeal for data analysts, Excel users, and business intelligence professionals looking to deepen their data modeling and DAX skills. Basic knowledge of Excel is recommended, but no prior experience with DAX or Power BI is required.

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