Product Data Analysis with Python, SQL, and Power BI

Understanding product metrics and user behavior is essential for making informed business decisions in today's digital landscape. This course provides a structured, text-based introduction to data analysis fundamentals, giving you the knowledge to gather, clean, and interpret product data effectively. By reading clear explanations and studying concrete code examples, you will transform raw user event logs into actionable business insights. What you'll learn: - Understand core data analysis concepts and key metrics such as LTV, Retention Rate, and Conversion Rate - Clean and manipulate datasets using Python libraries including Pandas and NumPy - Query relational databases using SQL to filter, aggregate, and analyze user behavior - Build interactive dashboards in Power BI to present business insights clearly - Apply modern data workflows and exploratory techniques to identify growth opportunities. You will begin by learning fundamental terminology and analytical frameworks before progressing to hands-on Python scripts, SQL queries, and dashboard design. The written lessons guide you step-by-step through practical examples without requiring complex setups. This course is designed for complete beginners interested in product analytics, data analysis, or business intelligence, with no prior programming experience needed. Start building your product analytics skills today.