Introduction to Data Analysis: SQL, Python, and Core Metrics

Data analysis is one of the most in-demand skills in modern business, yet getting started can feel overwhelming. This course guides you step-by-step through the core responsibilities and essential toolkit of a data analyst without requiring prior experience. You will gain a clear understanding of how data analysts transform raw data into actionable insights using structured workflows. What you'll learn: Learn essential data analytics terminology and core concepts. Write basic SQL queries to retrieve, filter, and aggregate database records. Explore foundational Python programming concepts for handling structured datasets. Calculate and interpret key product metrics such as retention, conversion, and churn. Apply modern data manipulation techniques using popular libraries like pandas. Analyze practical business scenarios to translate data into strategic decisions. The course starts with fundamental concepts and terminology before moving into practical text-based query construction and code examples. Designed specifically for beginners, no prior programming or math experience is needed. Begin exploring the world of data analytics today.