Data Preparation and Cleaning with Power Query

Manually cleaning messy spreadsheets and copying data from multiple sources is one of the most time-consuming parts of data analysis. Power Query automates these tedious tasks, allowing you to transform raw data into clean, structured tables with minimal effort. In this text-based course, you will transition from manual data cleaning to building automated, repeatable data preparation workflows. You will understand how to connect to various data sources, reshape tables, and prepare your datasets for seamless analysis. What you will learn: Understand the foundational concepts of data transformation and the Power Query interface; Clean messy datasets by removing duplicates, handling missing values, and filtering rows; Reshape data structures using key operations like pivot, unpivot, and transpose; Combine multiple files and tables using append and merge queries to consolidate your data; Apply basic M formula language concepts to customize your data transformation steps; Prepare structured data models that integrate seamlessly with your analytical tools. The course begins with essential data preparation terminology and interface basics before guiding you through step-by-step written tutorials on reshaping and combining tables. You will finish by learning how to optimize your queries for ongoing automation. This course is designed for beginners, business professionals, and aspiring data analysts who want to save time on data preparation. No prior database or programming experience is required. Start reading today to transform how you work with data.