Career support that lasts until you are hired

CV reviews, mock interviews, a job board and referrals to hiring partners. Included with every career track.

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How we help you get hired

Four steps, run by our placement team alongside your course.

Readiness check

We review your projects and skills and tell you honestly what is missing.

CV and LinkedIn

One-to-one CV rewrite with an analyst template recruiters recognise.

Mock interviews

SQL, Excel and case rounds with feedback from people who hire.

Referrals

We share your profile with hiring partners and alert you to openings.

Check your job readiness

Tick what you can already do. Your score updates as you go.

Clean a messy Excel file with Power Query Write SQL joins and GROUP BY Build a Power BI dashboard Explain a chart to a manager Have 3 projects on a portfolio CV fits on one page with numbers Practised a mock interview Active LinkedIn profile

Start ticking to see your score

Portfolio projects employers ask about

Build projects like these in class and walk into interviews with something to show. Shown here with sample data.

Power BI · Retail_Sales_2025.pbixBuilt by a Batch 2518 learner

Retail sales performance

FY 2025 · sample data

AllDhakaChattogramSylhetKhulna

Revenue৳7.15 Cr▲ 14.2% vs LY

Orders93,650▲ 9.8% vs LY

Avg order value৳763▲ 3.9%

Profit margin18.4%▲ 0.6 pts

Monthly revenue vs target (lakh ৳)

RevenueTarget

Sales channel mix

In store 58%Online 27%App 15%

Revenue by category (lakh ৳)

Top outlets

Outlet	Revenue	YoY
Gulshan 2	৳96L	▲ 12.4%
Dhanmondi 27	৳88L	▲ 15.6%
Agrabad	৳71L	▲ 8.1%
Zindabazar	৳54L	▼ 2.3%
Khulna Sadar	৳47L	▲ 4.9%

Power BIRetail sales performanceBuilt by a Batch 2518 learner

Power BI · HR_Attrition.pbixBuilt by a Batch 2520 learner

HR attrition analysis

FY 2025 · sample data

AllSalesOperationsITFinance

Headcount1,840▲ 6.1% YoY

Attrition rate16.8%▲ 2.3 pts

Avg tenure3.4 yrs

Engagement score3.7 / 5▲ 0.2

Monthly exits

Why people leave

Better pay 38%Career growth 27%Workload 19%Relocation 9%Other 7%

Attrition rate by age band

Overtime vs attrition

Key insight

Staff under 25 who work regular overtime leave at 29%, nearly 3× the rate of others. Pay review and overtime caps in Sales and Operations would cut exits most.

Written by the learner as the dashboard's recommendation.

Power BIHR attrition analysisBuilt by a Batch 2520 learner

R Shiny · household_survey_2025.RBuilt by an R Batch 2603 learner

Household survey analysis

FY 2025 · sample data

AllUrbanRural

Households surveyed2,4008 districts

Avg monthly income৳21,400median ৳17,500

Safe drinking water87%

Mobile money use71%

Monthly household income distribution (% of households)

Main income source

Agriculture 34%Salaried job 26%Business 21%Remittance 12%Other 7%

Development indicators

Model output (R)

lm(income ~ education + hh_size + area)

             Estimate  Std.Err   p
education      2140.3    212.6  <.001
hh_size        -412.8     98.1  <.001
areaUrban     8915.2    644.0  <.001
R² = 0.41   n = 2400

R ShinyHousehold survey analysisBuilt by an R Batch 2603 learner

SQL + Python · customer_retention.ipynbBuilt by a Batch 2415 learner

E-commerce customer retention

FY 2025 · sample data

AllNewReturningVIP

Customers48,200▲ 21% YoY

Repeat purchase rate34%▲ 4 pts

Customer lifetime value৳5,850▲ 11%

At churn risk18%● healthy

Monthly cohort retention (% still buying)

Orders by weekday (%)

Monthly active customers (thousands)

Query behind the cohort chart

WITH first_order AS (
  SELECT customer_id,
    DATE_TRUNC('month', MIN(order_date)) AS cohort
  FROM orders GROUP BY 1)
SELECT f.cohort,
  DATE_PART('month', AGE(o.order_date, f.cohort)) AS m,
  COUNT(DISTINCT o.customer_id) AS active
FROM orders o JOIN first_order f USING (customer_id)
GROUP BY 1, 2;

SQL + PythonE-commerce customer retentionBuilt by a Batch 2415 learner

Job board

Openings shared by our hiring partners. Learners and alumni see them first.

New roles are posted every week

The job board is for DS360 learners and alumni. Sign in to see and apply.

For employers

Hire job-ready analysts

Tell us the role. We shortlist alumni whose projects match and send you their profiles.

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Get a free CV review

Share a link to your CV (Google Drive, Dropbox or LinkedIn) and a mentor will send written feedback.