Designing Calculated Fields and Metrics for Data Analysis

Raw data rarely contains all the answers you need upfront. To uncover deeper business insights, you must learn how to manipulate, combine, and aggregate your data using custom calculations. This text-based course guides you through the fundamental principles of creating calculated fields, dimensions, and metrics, helping you transition from static tables to dynamic data models. What you'll learn: - Understand the core differences between calculated dimensions and aggregated measures - Apply logical functions and conditional statements to segment your data dynamically - Practice writing clean mathematical formulas to compute percentages, ratios, and growth rates - Learn to handle missing data and null values to ensure accurate analytical reporting - Explore modern best practices for structuring formulas to optimize query performance You will start with essential terminology and the foundational logic of data types before moving on to step-by-step written tutorials and practical syntax exercises. This course is designed for aspiring data analysts, business professionals, and beginners who want to elevate their reporting skills without any prior coding experience. Start reading today to unlock the full analytical potential of your data.