Power BI Data Preparation and Power Query Fundamentals

Raw data is rarely ready for immediate analysis, often requiring significant cleaning and structuring before it can tell a meaningful story. This text-based course guides you through the essential steps of importing, cleaning, and transforming your data using Power Query within Power BI. By reading through clear explanations and studying practical written scenarios, you will learn how to turn messy datasets into structured, analysis-ready tables. You will gain the confidence to connect to various data sources, choose the right storage modes, and establish clean data structures. What you'll learn: Understand foundational data preparation concepts, core terminology, and the Power BI interface; Connect to diverse data sources and choose the appropriate storage and connectivity modes; Profile and analyze data quality to quickly identify errors, duplicates, and missing values; Clean and transform messy datasets using Power Query's robust transformation tools; Apply modern practices for shaping data, handling nested formats, and configuring data privacy levels; Load structured data into Power BI to prepare it for efficient modeling. The course starts with essential terminology and core definitions before guiding you through data extraction, cleaning operations, and final loading techniques. You will progress from raw data concepts to structured data modeling foundations through step-by-step written explanations and practical exercises. This course is designed for beginners who are new to Power BI and data analytics, requiring no prior experience with data shaping or query languages. Start reading today to build a strong foundation in data preparation and elevate your analytical capabilities.