DAT360 Applied Data Engineering
This course provides a comprehensive introduction to data engineering principles and practices. Students will learn how to design, build, and manage data pipelines and workflows to support data analytics and machine learning applications. The course covers topics such as data warehousing, ETL (Extract, Transform, Load) processes, data integration, and data quality management. By the end of the course, students will be equipped with the skills to implement and maintain scalable and efficient data engineering solutions in real-world scenarios.
Prerequisite
AAI350 Cloud-Based AI Solutions