Foundations of ETL in Power BI

Raw data is rarely ready for immediate analysis. To build accurate reports, you need a reliable process for extracting, cleaning, and structuring your information before it reaches your dashboard. This course teaches you the fundamentals of Extract, Transform, and Load (ETL) directly within Power BI. You will discover how to connect to various data sources, handle inconsistencies, and shape your data into an optimized format using Power Query, ensuring your downstream analytics are built on a solid, reliable foundation. What you'll learn: • Understand the core principles of the ETL lifecycle and essential data terminology. • Connect Power BI to diverse data sources, including flat files, databases, and modern web APIs. • Clean and shape messy datasets using Power Query's built-in transformation features. • Apply modern data profiling techniques to identify anomalies, missing values, and quality issues. • Explore introductory M formula language concepts to customize and automate your data transformations. • Structure and load prepared data efficiently for optimal reporting performance. The course begins with foundational ETL concepts and definitions before moving into practical, text-based scenarios. You will read through step-by-step data shaping workflows, progressively building your skills from simple extractions to handling common data quality challenges. This foundational course is designed for beginners and aspiring data analysts with no prior Power BI or data engineering experience. Start reading today to master the essential data preparation skills needed for effective business intelligence.