DataDesk

Guided projects

Each guided project is a realistic task from a fictional company, finished in one sitting. Start with an Intern task and work your way up to Senior Analyst.

ShopKart · E-commerce

Why did Delhi sales drop last month?

Your first task: find out how much Delhi revenue fell in September and where the drop came from.

InternSQLExcelFree 15 min

ShopKart · E-commerce

Who are our top 10% customers?

Rank customers by spend with window functions so the CRM team can launch a loyalty programme.

Junior AnalystSQLFree 30 min

ShopKart · E-commerce

Where is cart abandonment highest?

Build a checkout funnel from raw events in Python and find the leak.

AnalystPythonSQLFree 45 min

FinTrust Bank · Banking

Branch-wise monthly deposit report

Build the monthly deposit report every bank analyst makes — from a very messy core-banking export.

InternSQLExcel 25 min

FinTrust Bank · Banking

Which customers may default on their loans?

Clean messy loan data and build a simple logistic regression to flag risky borrowers.

AnalystPython 60 min

CareWell Hospital · Healthcare

Why is OPD wait time increasing?

Use timestamp maths in SQL to find which departments got slower, and when.

Junior AnalystSQL 30 min

CareWell Hospital · Healthcare

Department-wise 30-day readmission rate

Use CTEs and LEAD() to calculate a key hospital quality metric correctly.

AnalystSQL 40 min

TalentCo · HR / IT services

Which team has the highest attrition — and why?

Exploratory analysis in pandas to find where people are leaving and what they have in common.

Junior AnalystPython 40 min

AdWave · Marketing

Which channel gives us the cheapest customer?

Calculate CAC and ROI per marketing channel by joining spend with attributed customers.

Junior AnalystSQLExcel 30 min

QuickBite · Food delivery

Why are deliveries late, and where?

Slice delivery data by zone, time, weather and kitchen to separate root causes.

AnalystPython 50 min

ConnectOne · Telecom

Predict which subscribers will churn

Build and honestly evaluate a churn model — and avoid the data leak hiding in the table.

Senior AnalystPython 75 min

DailyMart · Retail

Forecast next month's stock

Build a time-series forecast for October that respects trend, weekly patterns and shifting festival dates.

Senior AnalystPythonExcel 75 min