Product and Business Metrics with Python, SQL, and BI Dashboards

Making data-driven business decisions requires a solid understanding of how product and financial metrics are measured and interpreted. This text-based course equips you with the fundamental concepts and practical skills needed to transform raw database tables into meaningful analytics. You will understand core business KPIs, write queries to retrieve relevant data, manipulate datasets using Python, and visualize key trends through clear charts and BI dashboard layouts. What you'll learn: - Understand essential product and business metrics, including retention, acquisition costs, and conversion rates. - Query relational databases using SQL to extract user event and transactional data. - Clean, aggregate, and process datasets using Python and the Pandas library. - Create clear data visualizations using Matplotlib and Seaborn. - Design structured BI dashboard layouts to present business insights effectively. - Perform cohort analysis to evaluate product growth and user engagement over time. The course begins with foundational definitions of key performance indicators and data structures before moving into practical code walkthroughs and step-by-step analytics workflows. This course is designed for aspiring data analysts, product managers, and beginners with no prior coding background. Start reading today to build your practical toolkit for business analytics.