Data Analytics - Industry Placement Program

Structure: Two 3-month parts, 12 sessions each (24 total)

Part 1 · Months 1–3: The Project Track — hands-on, industry-simulating projects

Part 2 · Months 4–6: Industry immersion + interview preparation (incl. 4 mock interviews)

Delivery: Hybrid · a mix of live sessions and take-home build work

Experts: 8–10 from the data domain; 2–3 from HR/finance/business

Running track: Soft skills & professional English — a clinic in every Friday session, plus all presentations and mock interviews in English

Through-line: One portfolio + full interview readiness, tested against real hiring standards

Simulate the full data flow, not just the analysis end. Students see where data is born (a transaction, a click, a signup), how it moves through pipelines and staging into a warehouse, how it is served to BI, and how it decays. They experience the journey rather than receiving a finished table.

Start with messy, multi-source, realistic data. Raw dumps that don’t match, with nulls, duplicates, inconsistent date formats and no documentation — exactly like a real handoff in your first week on the job.

Drive everything from a business scenario. Not “write a window function,” but “the VP thinks retention is dropping and needs a defensible answer by Thursday.” Technique becomes a means to a business end.

Prepare relentlessly for the hiring process. Great work only lands a job if the candidate can present it. Interviewing — and communicating in English — is treated as a trainable skill, with repeated mock interviews, a rehearsed question workbook and a soft-skills clinic in every session.

Instalment 1 · at enrolment — ৳10,000 BDT: paid when you join to secure your seat in the cohort.

Instalment 2 · after 1 month — ৳10,000 BDT: paid one month into the program, once Part 1 projects are underway.

Instalment 3 · after getting the job — ৳30,000 BDT: paid only after you are hired — spread across your first three months of salary (৳10,000 per month).