Power BI Essentials: Data Transformation & Modeling with DAX

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Power BI Essentials: Data Transformation & Modeling with DAX

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Transforms raw data into actionable business intelligence using Power BI and DAX

Original Description

This course equips business professionals, Power BI developers, and aspiring data strategists with the essential skills to transform raw data into actionable business intelligence using Power BI. You’ll begin by exploring the principles of data-driven decision-making — understanding how modern organizations harness analytics to inform strategy, optimize operations, and drive innovation. Through real-world examples, you’ll examine how Business Intelligence (BI) has evolved into a critical enabler of organizational agility and competitive advantage. Building on this foundation, the course introduces you to the Power BI ecosystem from its architecture and workflow to its integration within the Microsoft data landscape. You’ll learn to differentiate between traditional and modern BI tools, navigate Power BI Desktop and Service environments, and compare various versions and deployment models. Practical sessions guide you through installation, interface exploration, and connecting Power BI to diverse data sources. As you progress, you’ll master the end-to-end process of data preparation, transformation, and modeling. Using Power Query Editor, you’ll learn to clean, shape, and profile datasets for accuracy and quality. You’ll then design robust semantic data models by applying schema principles, managing relationships, and optimizing model performance for speed and scalability. These hands-on skills build the foundation for intelligent data storytelling and dashboard creation in later stages of your Power BI journey. The course culminates in a comprehensive introduction to Data Analysis Expressions (DAX), the powerful formula language that drives analytics in Power BI. You’ll develop fluency in writing DAX functions, creating calculated columns and measures, and understanding evaluation contexts. Advanced lessons introduce you to performance optimization and best practices for crafting efficient DAX expressions, preparing you to analyze data dynamically and with precisi
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