Intermediate Track • Analytics
Analytics Engineering (dbt)
Adopt the ELT paradigm using dbt to transform raw data into production-ready models with software engineering practices.
Certificate
Included
Level
Intermediate
Professional Outcome
Professional "Can-Do" Statement
"Produce production-ready, tested data models using dbt."
Key Mastered Skill
Building modular data models with Jinja and macros to maintain a single source of truth across the Medallion architecture.
Next Cohort Starts: March 15, 2026
What you will
Achieve
01
Students will build modular, tested, and documented data models using dbt, applying version control and CI for reliable deployments.
Curriculum Highlights
- Theoretical foundations and mental models
- Hands-on lab environments for practice
- Real-world business case studies
- Performance optimization strategies
- Production-grade implementation patterns
Prerequisites
This is a module in our Beginner Track. While no prior experience in Data Engineering is required, basic computer literacy is essential.
Positive mindset & Curiosity
Willingness to learn by failing
System with 8GB+ RAM recommended
Next StepsReady to take the
Ready to take the
Next Level?
Our intermediate and advanced modules are designed to bridge the gap between foundations and professional expertise.