Excel Data Analysis with Power Query, Power Pivot, M, and DAX

Transforming disorganized spreadsheet data into actionable insights requires more than basic formulas. This written course guides you through Excel's primary data transformation and modeling add-ins, Power Query and Power Pivot, preparing you to clean data efficiently and build robust analytical reports. You will start by mastering foundational data analysis terminology, table relationships, and core structures before moving into practical data manipulation. By combining automated interface tools with foundational M code and DAX measures, you will streamline repetitive tasks and build reliable analytical workflows. What you'll learn: - Understand key data modeling concepts and essential terminology for spreadsheet analytics - Clean and reshape multi-source datasets automatically using the Power Query interface - Write foundational M code in the formula bar to customize data transformation steps - Build structured relational data models inside Power Pivot with clear table connections - Formulate explicit DAX calculations and measures to evaluate key metrics - Apply modern Excel dynamic array logic alongside data models for flexible reporting. The course begins with clear definitions and core mechanics before moving step-by-step into data transformation logic and formula syntax. It is tailored for spreadsheet users who want to transition from basic calculations to automated data analysis, with no prior experience required. Start reading today to elevate your data processing skills and streamline your analytical workflows.