Power Query for Data Preparation

Dealing with messy, unorganized data can be a significant hurdle in any data analysis project. Power Query provides an intuitive and powerful way to streamline your data preparation process. This course will equip you with the essential skills to extract, transform, and load data from diverse sources, enabling you to build clean, reliable datasets ready for in-depth analysis and reporting. What you'll learn: Understand the fundamental concepts of data extraction, transformation, and loading (ETL) within Power Query. Apply a wide range of data cleaning and shaping techniques, including splitting, pivoting, unpivoting, and managing data types. Combine and merge data from multiple files, tables, and databases to create unified datasets. Master the basics of the M formula language to create custom columns and advanced data transformations. Implement best practices for optimizing query performance and ensuring data quality and consistency. Practice building repeatable and automated data preparation workflows for common business challenges. The course begins with core terminology and foundational concepts, progressively building up to practical application through structured explanations and code snippets. This course is designed for absolute beginners with no prior experience in Power Query or data preparation tools. All you need is a willingness to learn. Unlock the power of clean data and enhance your analytical capabilities.