Learning Power Query M: Practical Techniques with wrapCols, wrapRows, and PI for Clean, Scalable Data Models — From Beginner to Professional - Tapa blanda

Sinopsis

Data transformation is the foundation of every modern analytics workflow — and Power Query M is the engine that makes it happen. Whether you’re working in Excel, Power BI, or Microsoft Dataflows, this book gives you the knowledge and confidence to master the M language from the ground up.

In Learning Power Query M, you’ll go beyond point-and-click interfaces and learn to write clean, efficient, and reusable M scripts that unlock deeper automation, richer insights, and more flexible data models.

• Power Query Fundamentals – Understand the architecture, connectors, and data flow behind Power Query.
• M Language Syntax – Learn variables, functions, lists, records, and table operations through real examples.
• Transformations in Action – Combine, filter, and reshape data from multiple sources with precision.
• Automation & Parameters – Build dynamic solutions using query parameters and custom functions.
• Error Handling & Debugging – Use try...otherwise, conditional logic, and diagnostics tools to build reliable queries.
• Performance Optimization – Learn best practices for improving refresh time and efficiency.
• Integration with Power BI & Excel – Apply your M skills directly within the tools you already use.

• Code-Driven Learning – Every concept includes examples you can run immediately.
• Real-World Scenarios – Based on practical business data challenges.
• Reusable Templates – Includes ready-made scripts for cleaning, merging, and aggregating data.
• Professional Focus – Ideal for analysts, BI developers, and Excel power users seeking deeper automation skills.

• Data Analysts looking to automate and scale their transformations.
• Excel Users ready to move beyond formulas and macros.
• Power BI Professionals aiming to improve model efficiency and governance.
• Students & Educators seeking a clear, structured introduction to Power Query M.

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