Data Analytics Fundamentals with Metrics and Frameworks

Starting a career in data analytics requires understanding both raw data concepts and the business logic behind them. This written course provides a step-by-step foundation in the key responsibilities, daily workflows, and methodologies used by modern data teams. What you will learn: Understand foundational analytics terminology and how analysts collaborate within product teams; Break down high-level business goals using metric decomposition techniques; Formulate and evaluate hypotheses using practical frameworks like Lean Canvas and HADI cycles; Explore fundamental data tools and modern analytics ecosystems; Practice structured problem-solving using detailed written scenarios. The course begins with core definitions and structural concepts before introducing business frameworks and metric breakdown exercises. Designed specifically for absolute beginners, this guide requires no prior technical or mathematical experience. Read through the lessons to build a strong analytical foundation today.