IntermediateLive Online7 weeks
Data Engineering with PySpark & Databricks
Build modern lakehouses — PySpark, Delta Lake, and Databricks workflows — with production-grade patterns.
★ 4.7 rating1,987 learnersNext batch: April 26, 2026
Next cohort begins in
05
days
14
hours
19
min
46
sec
What you’ll learn
Outcomes, not just content
- ✓Design partitioned, optimized Delta Lake tables
- ✓Build orchestrated workflows in Databricks
- ✓Tune Spark jobs for cost and performance
- ✓Implement data quality and lineage
Curriculum
5 modules · built for depth
01PySpark Fundamentals
3 topics- DataFrame API
- UDFs & pandas API
- Catalyst optimizer
02Delta Lake & Lakehouse
3 topics- ACID on data lakes
- Time travel
- Schema evolution
03Performance
3 topics- Partitioning & Z-order
- Caching strategies
- Shuffle tuning
04Orchestration
3 topics- Databricks Workflows
- Jobs API
- CI/CD for data
05Governance
3 topics- Unity Catalog
- Lineage
- Data contracts
Prerequisites
- ›SQL proficiency
- ›Basic Python
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Next batch · April 26, 2026