Practical Data Analysis: KPIs, Metrics, and Data Storytelling

Organizations rely on data to drive strategic decisions, but raw numbers mean nothing without the ability to analyze and communicate their value. This written course provides a structured foundation in business data analysis, guiding you through core analytical methods, performance metrics, and storytelling techniques. You will learn how to approach business problems analytically, interpret datasets, calculate key performance indicators (KPIs), and present your findings clearly to stakeholders. What you will learn: Understand foundational data terminology, analysis frameworks, and core metric types; Define and track essential business KPIs across different organizational functions; Apply exploratory data analysis techniques to spot trends, anomalies, and patterns; Structure compelling written reports using modern data storytelling principles; Evaluate performance data to formulate actionable, evidence-based recommendations; Practice analyzing real-world business scenarios through guided written exercises. The course begins with foundational definitions and key concepts before progressing into practical analytical frameworks and reporting strategies. Designed specifically for beginners, this course requires no prior background in statistics or technical tools. Start reading today to develop practical data analysis skills for sound decision-making.