Overview
The Professional Certificate in Data Engineering Foundations provides a strong foundation for individuals entering the field. Participants gain a comprehensive understanding of core concepts like data pipelines, lifecycles, and various data formats, while also differentiating between data engineer, data scientist, and data analyst roles. The programme equips participants with essential Python programming skills tailored for data manipulation, acquisition, and ingestion within data engineering tasks, including the ability to work with relevant APIs and libraries. Finally, the programme explores the crucial role of databases, teaching participants how to leverage Python for database connections and master advanced SQL concepts like stored procedures, ACID transactions, and joins, enabling effective database interaction. Upon completion, participants will possess a good foundation in data engineering principles, essential Python skills for data engineering tasks, and database handling skills, preparing them for further exploration within the field.
Course Description & Learning Outcomes
This Professional Certificate will equip learners with the following competencies:
Foundations of data engineering ecosystem and lifecycle
Essential Python skills for data engineering
Role of databases in data engineering and advanced Structures Query Language (SQL) concepts needed for a data engineer
This programme will prepare learners for roles in data analysis, data engineering and data science. Course participants will learn about core data engineering concepts and the foundational requirements needed to become data engineers.
Schedule
End Date: 15 May 2026, Friday
Location: 11 Research Link, COM 3, 119391
Pricing
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Data Engineering (Proficiency level: Beginner)
