Full-stack data training.

Start internship from Day 1.

Training & portfolio + internship + career coaching — all run in parallel. Prefer one thing at a time? You can also opt for a phased plan.

Guaranteed job support.

We work with you until you land a job. Unlimited mock interviews & strategy sessions along the way.

Pay 50% of the fees only once you land a job

Half your tuition is a deferred fee — it activates only after you are hired. If you don't land a job, that half never falls due.

Millions of unclean POS rows from 97 stores plus online, consolidated and cleaned into one model that answers sales over time, best-performing region, top category and strongest chain.

A single-screen view of a 16.1% attrition rate: department, age band, education field and job-satisfaction cuts, with gender splits by age group so HR can see where people actually leave.

Process-mapped the order journey, then quantified pick-time loss drivers — unstocked items, inefficient aisle placement, substitutions, congestion — to prioritise the fixes worth making.

Hourly counts from the city sensor network mapped across the CBD with a time scrubber, so foot-traffic peaks by street and hour become obvious for siting and staffing decisions.

CRM and ERP CSV feeds landed raw in bronze, cleaned and standardised in silver via stored procedures, then modelled into a gold star schema serving BI, ad-hoc SQL and ML.

Data Factory ingests external sources into Data Lake Gen2, Databricks transforms with Key Vault–backed secrets, Synapse serves Power BI — with Git version control, monitoring and email alerts on pipeline failure.

A Flask app that runs SQL against BigQuery and returns only aggregated rows to a Chart.js front end — service-account credentials stay server-side, never in the browser.

The map you build everything else on: sources to pipeline to bronze/silver/gold, and who does what — architect, engineer, analyst, BI developer, scientist, ML engineer — and the questions each one answers.