Data Warehousing and Analytics Testing for Product Growth

Modern products rely on high-quality data pipelines and continuous testing to deliver value and sustain growth. Understanding how to manage, analyze, and store this data is essential for anyone working with modern digital products. This text-based course guides you from the absolute basics of data warehousing to the practical application of analytics and testing frameworks. You will understand how data flows from user interactions into modern cloud warehouses, how to run structured A/B tests, and how to monitor product performance. What you will learn: 1. Understand the fundamentals of data warehousing, including ELT pipelines and cloud architectures. 2. Design and execute A/B tests to measure product changes and performance accurately. 3. Configure communication analytics to track user engagement and system notifications. 4. Apply basic data modeling techniques to organize raw data. 5. Implement privacy-first tracking practices and understand modern data governance standards. You will start with core definitions and architectural concepts before exploring how data is collected, transformed, and tested. Through clear written explanations and structured scenarios, you will learn to make data-driven decisions that drive product growth. This course is designed for beginners, product managers, and aspiring data coordinators, with no prior coding or data engineering experience required. Start reading today to build a strong foundation in modern data infrastructure and product analytics.