Data-Driven Agile: Embedding Data Quality in Software Development

Modern software teams require both velocity and dependable data to build resilient applications. This course explains how to align standard Agile development practices with robust data quality principles, helping teams deliver features rapidly without compromising integrity. What you will learn: Understand fundamental Agile concepts and core data quality dimensions; Apply automated data validation and schema checks to sprint user stories; Integrate continuous data observability and monitoring within development workflows; Design actionable acceptance criteria tailored for data-centric software features; Establish lightweight data governance routines that fit iterative delivery cycles. The course begins with foundational terminology and principles before moving into practical implementation strategies and written workflow examples. Perfect for beginners, aspiring data engineers, developers, and quality analysts with no prior background in data governance required. Start reading to strengthen your software development process with reliable data practices.