Data Preparation and Management with Power BI

Raw data is often messy and unusable, yet it is the foundation of every critical business decision. This course guides you through the essential workflows of data management, ensuring you can turn fragmented information into clean, structured assets ready for analysis. You will learn how to move from raw source connection to a fully optimized data model by mastering the systematic approach to data preparation. Through written explanations and practical examples, you will gain the skills necessary to ensure data accuracy and integrity in any business environment. What you'll learn: - Understand the core principles of the Extract, Transform, Load (ETL) lifecycle. - Connect to diverse data sources and manage storage options effectively. - Apply data cleaning techniques to handle missing values, duplicates, and formatting errors. - Master Power Query fundamentals to automate repetitive data shaping tasks. - Practice data profiling to ensure high quality and integrity across your datasets. - Organize data structures for optimal performance and long-term maintenance. The course begins with foundational definitions and key terminology, progressing through structured lessons that focus on modern data management challenges. It is designed specifically for beginners with no prior data engineering or Power BI experience. Start building a solid foundation in data management today.