Data Engineer Path
Build the data platforms every AI product now depends on.
- Outcome
- Senior Data Engineer
- Duration
- 4–5 months
- Level
- Beginner to Intermediate
The story
What you’ll actually learn and build
From Python + SQL fundamentals to production lakehouses and analytics engineering. You graduate with a full-stack data portfolio.
Milestones
3-stage journey
- 1
Foundations
Python + SQL for data
- 2
Big data
PySpark + Delta Lake
- 3
Modern warehouse
dbt + Snowflake
Outcomes
You graduate with
- ✓Production-quality lakehouse project
- ✓Modern data-warehouse skills (dbt + Snowflake)
- ✓Fluency with Spark at scale
- ✓Network of data practitioners from live cohorts
All courses in this path
Data Science & Analytics
Applied Data Science with Python
Career-changer for analysts and engineers. Python, stats, ML, and a real capstone your hiring manager can inspect.
- Level
- Beginner
- Duration
- 8 weeks
- Mode
- Live Online
- Next batch
- May 3, 2026
Starts at
₹29,999
★ 4.7
3,310 learners
Data Science & Analytics
Data Engineering with PySpark & Databricks
Build modern lakehouses — PySpark, Delta Lake, and Databricks workflows — with production-grade patterns.
- Level
- Intermediate
- Duration
- 7 weeks
- Mode
- Live Online
- Next batch
- April 26, 2026
Starts at
₹44,999
★ 4.7
1,987 learners
Data Science & Analytics
Analytics Engineering with dbt & Snowflake
Modern data-warehouse patterns: modeling, testing, docs, and CI — the analytics engineering playbook.
- Level
- Intermediate
- Duration
- 5 weeks
- Mode
- Live Online
- Next batch
- May 11, 2026
Starts at
₹34,999
★ 4.8
820 learners