Data Preparation and Cleaning in Power BI

Raw data is rarely ready for analysis right away. This course teaches you how to turn unorganized datasets into clean, structured information using Power Query within Power BI. You will gain the skills to handle common data issues like missing values and duplicates while learning how to perform transformations that make your reports more accurate and easier to build. What you'll learn: - Understand foundational data preparation concepts and the Power Query interface - Clean datasets by removing duplicates, handling missing values, and filtering rows - Profile data to identify quality issues and anomalies before starting your analysis - Apply text, numeric, and date transformations to format data correctly - Merge and append different data sources to create a unified data model - Explore the basics of the M formula language for custom data logic The course begins with essential terminology and interface navigation before moving into practical cleaning techniques and advanced data shaping methods. You will read through detailed explanations and practice your skills with written exercises designed to simulate real-world data challenges. This course is designed for beginners who want to master the data preparation stage of the analysis workflow; no prior experience with Power BI is required. Start building cleaner and more reliable data models today.