SQL, Data Science, and A/B Testing Foundations

Modern organizations rely on data specialists to query databases, build predictive models, and validate business changes through controlled experiments. This text-based course guides you through core concepts in SQL, essential Data Science techniques, and practical A/B testing principles without requiring prior technical background. What you'll learn: Understand foundational data concepts, relational database structures, and key statistical terms. Write SQL queries to filter, aggregate, join, and analyze complex datasets. Explore data using foundational machine learning workflows and evaluation metrics. Design, execute, and evaluate A/B tests to measure feature impacts objectively. Calculate statistical significance, p-values, and confidence intervals in real-world contexts. Apply structured analytical workflows to turn raw database records into actionable business insights. You will start with key definitions, database syntax, and statistical principles before moving into clear explanations of practical analytical scenarios. This course is designed for total beginners, aspiring data analysts, and product managers with no prior coding or math prerequisites required. Start reading today to build a strong, practical foundation in SQL, Data Science, and A/B testing.