Data Engineering
Data Engineering helps learners understand how data moves from source to system through pipelines, transformation, storage, and reliable infrastructure. Within IADL, this track is positioned as the operational side of modern data work; helping learners see how analytics and AI depend on well-organized, trusted, and well-managed data systems.
Participants work through SQL, data modeling, ingestion, cleaning, warehousing, orchestration, and documentation so they can develop a systems view of information flow. The longer 12-week structure gives them time to understand not only how data is processed, but how to make it dependable, reusable, and useful for real digital environments.
Who It's For
Learners who want to understand the infrastructure behind data systems; especially those interested in pipelines, transformation, warehousing, and reliable data operations.
What You'll Gain
- Build a systems view of data flow
- Work with SQL and transformation logic
- Understand pipelines and warehousing
- Strengthen quality, governance, and documentation habits
- Support analytics and AI with better data foundations
What you will build
Pipeline Starter
Ingest data; clean; load into a warehouse..
Tools
Python; SQL
Deliverable
Pipeline notebook
Orchestration Lab
Schedule jobs; handle failures; monitor.
Tools
Workflow tools
Deliverable
Orchestration
Data Platform Capstone
End to end pipeline; documentation; demo.
Tools
Warehouse; dashboards
Deliverable
Capstone repo + deck