COURSE INTENT
Understand it. Practice it. Put it to work.
Design data pipelines and platforms that help teams work with dependable information. The course brings concepts together with applied activities and projects so learners can connect what they know to meaningful work.
WHY THIS MATTERS AT WORK
Take more confidence into the next decision.
Understand where data comes from, how it changes, and what makes it trustworthy enough to support reporting and operational decisions.
IS THIS COURSE FOR YOU?
Who it is designed to help.
- Developers moving toward data engineering
- Analytics teams improving data reliability
- Organizations building shared data foundations
Before you begin
Basic programming and familiarity with structured data are recommended.
Learning experience
Data platform concepts, pipeline design, data quality, lineage, operations, and a documented pipeline project.
LEARNING OUTCOMES
- Model data flow from source to use.
- Build repeatable transformation pipelines.
- Evaluate quality, lineage, and operational trade-offs.
CURRICULUM PREVIEW
A route through the subject.
- 01Data platform foundations
- 02Ingestion and transformation
- 03Data quality and lineage
- 04Operating pipelines
PROJECTS & PRACTICAL ACTIVITIES
Make the ideas tangible.
Pipeline failure investigation
Data quality check design
COMMON QUESTIONS
Before you begin.
Do I need data engineering experience?+
Basic programming and familiarity with structured data are recommended.
NW
YOUR INSTRUCTOR
Njeri Wanjiku
Builds data products that help teams ask useful questions and make better-informed decisions.
View instructor profile