Business Intelligence Fundamentals: Data Strategy and Analytics

Organizations generate massive volumes of data every day, but raw records provide little value without a structured approach to evaluation and reporting. This course equips you with the foundational principles of modern business intelligence, enabling you to interpret data pipelines, design reliable metrics, and support data-driven decision-making. What you'll learn: - Understand core business intelligence terminology, data lifecycles, and modern analytics architecture - Apply data modeling fundamentals to design robust dimensional schemas for reporting - Design meaningful key performance indicators (KPIs) aligned with business goals - Learn the essentials of ETL and ELT data integration processes - Explore modern data governance, self-service analytics concepts, and data quality assurance - Practice interpreting business requirements into clear data analysis workflows Starting with essential definitions and foundational data concepts, the curriculum walks you systematically through metric design, data modeling structures, and strategic reporting workflows. This text-based course is created specifically for beginners and requires no prior technical background or programming experience. Begin reading to develop a confident grasp of modern business intelligence.