Power BI Data Transformation with Power Query

Raw data is rarely ready for analysis right out of the box. To build accurate Power BI reports, you must first learn how to clean, shape, and structure your data efficiently. This course guides you through the essential techniques of data transformation within Power BI. You will progress from importing raw files to configuring sophisticated data preparation steps, enabling you to build clean, optimized data models that drive meaningful business insights. What you'll learn: - Learn foundational data cleaning techniques to handle null values, filter rows, and format columns. - Apply advanced table transformations such as pivoting, unpivoting, transposing, and appending datasets. - Understand different join types and merge queries to combine multiple data sources correctly. - Write custom columns and basic M language formulas using the Advanced Editor for tailored data shaping. - Configure query folding and data privacy settings to optimize data loading performance and security. You will start with core data preparation concepts and navigating the Power Query interface before moving on to practical table manipulation and joining techniques. The journey concludes with custom columns, M code basics, and performance optimization practices. This course is designed for aspiring data analysts and business professionals who are new to Power BI and want to build a solid foundation in data preparation. No prior database or coding experience is required. Start shaping your data with confidence and turn messy datasets into clear, actionable reports.