CTEs, window functions, query optimization, performance tuning, real interview SQL.
pandas, numpy, automation, web APIs, ETL scripting from beginner to production-ready.
Power Query, Power Pivot, automated dashboards, MIS reporting, KPI design.
Architecture, virtual warehouses, RBAC, streams & tasks, dbt modeling.
Pipelines, datasets, triggers, CI/CD, dynamic + parameterized loads.
RDDs, DataFrames, performance tuning, streaming, Delta tables, Unity Catalog.
| Data Analytics | Data Engineering | Power BI Dev | |
|---|---|---|---|
| Duration | 26 weeks | 30 weeks | 16 weeks |
| Format | Weekend + Weekday | Weekend | Weekend + Weekday |
| Modules | 5 (Excel, SQL, Python, Snowflake, Power BI) | 6 (Python, SQL, ADF, Databricks, PySpark, DW) | 8 (Architecture → embedded BI) |
| Capstone | Exec dashboard for partner | End-to-end pipeline on cloud | Multi-tenant BI report suite |
| Mentor 1:1 | Weekly | Weekly | Bi-weekly |
| Job guarantee | YES | YES | PLACEMENT SUPPORT |
| Avg placement | ₹12.4 L | ₹18.6 L | ₹11.2 L |
| Price | ₹89,000 | ₹1,29,000 | ₹64,000 |