Data Analytics - Industry Placement Program

From course-completer to industry-ready analyst. The single biggest gap facing today’s data-analyst graduates: they can write queries and build dashboards, but they have never experienced how the industry actually works — or how to prove it in an interview. This program closes that gap.

The core shift. From “practising skills” → experiencing industry reality — and getting hired. Students already have the tools. This program gives them the context, judgment, relationships and interview readiness that turn a course-completer into a hire.

Primary outcome. Land better jobs and internships. Every design decision — curated cohort, project realism, intensive interview preparation, expert hiring panels — serves this single measurable goal.

At a glance

• 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

Four design principles

• 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.

The 12 experts. Twelve practising experts, matched to where they are irreplaceable — injecting reality, running mock interviews and judging work — rather than re-teaching skills students already have. 8–10 data-domain experts own the Part 1 project stages and lead firesides, domain deep-dives, technical & case mock interviews and industry visits in Part 2. 2–3 HR / finance / business experts own the hiring sessions (15, 16), the behavioral mock interview (19) and the final panel (23) — the rare “how we hire” perspective.

Fees & payment plan — ৳50,000 BDT total. A pay-as-you-progress structure: a small commitment to start, a second instalment after the first month, and the majority paid only after you land the job — from your first three months of salary. The program succeeds when you do. ৳20,000 is paid during the program and ৳30,000 only after you are hired — 60% of the fee is success-based.

• 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 under way.

• 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).

Detailed terms, eligibility and the definition of a qualifying job placement are provided in the enrolment agreement.

• An industry-simulated portfolio spanning multiple domains and the full modern workflow
• Four mock interviews of experience with written feedback and visible improvement
• A rehearsed, personalised answer to every set in the 20+ question-set workbook
• The ability to present their work and answer interview questions clearly and confidently in English
• A network of 12 experts across data, HR and finance who have seen their work
• Referral paths and a community for continued leads after the program

This is a next-level program, not a first data course. It assumes you already know SQL and can build dashboards, but have never worked inside a real company.

• Working knowledge of SQL
• Ability to build dashboards / BI reports
• Completion of one or more data analyst courses, or equivalent experience

• Previous DS360 students ready for the next level
• External graduates who have completed one or more data analyst courses
• Current interns aiming to move into stronger industry roles

• How data flows and lives in a database — Projects 1 & 2 (inherit real DBs, build the pipeline)
• Handling messy, multi-source real data — Projects 1 & 4
• Stakeholder & business simulation — Projects 3 & 5; sessions 15–16
• Modern AI-augmented workflow — Project 5 (SQL + Power BI + AI/Claude)
• How the industry hires and thinks — Sessions 13–16, domain deep-dives, visits
• Interview readiness — Interview module: 4 mock interviews + 20+ question sets
• Communication, soft skills & English — Soft Skills & Professional English track, inside every Friday, every presentation and every mock interview