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Data Engineering Foundations

Modelling, batch pipelines, orchestration and data quality checks.

Level
intermediate
Duration
6 weeks
Format
classroom
Material
3 modules · 5 h

Move data from source systems to a warehouse without hand-holding: schema design, idempotent batch jobs, orchestration, backfills, and quality gates that stop bad rows at the door.

Syllabus

  1. 01 Modelling

    Grain, keys, and naming that outlives the person who chose it.

    1. 01 Modelling for analytics text 50 min
  2. 02 Pipelines

    Idempotent batch jobs and orchestration with sane failure semantics.

    1. 01 Batch pipelines that rerun cleanly text 50 min
    2. 02 Orchestration video 50 min
  3. 03 Quality and Capstone

    Warehouse performance, data quality gates, and one table shipped end to end.

    1. 01 Warehouse performance text 45 min
    2. 02 Data quality gates text 45 min
    3. 03 Capstone: source to dashboard text 60 min

Topic material unlocks in your dashboard once your seat is confirmed. Trial modules are open to any signed-in learner.

Cohorts

14 Sept 2026

3 of 15 seats

Mon/Thu 18:30-21:00 IST

Included

14 Sept 2026 — 23 Oct 2026 · admissions approval

16 Nov 2026

14 of 15 seats

Tue/Fri 19:00-21:30 IST

Included

16 Nov 2026 — 25 Dec 2026 · admissions approval

Included in the Platform Engineer pathway — reserving a seat here charges nothing.