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Portfolio Guide · Reviewed September 2026

Data Science Projects in Delhi

5 guided projects plus 1 capstone project, built across the eleven curriculum modules on real datasets — so Delhi learners finish the course with a practical, interview-ready portfolio rather than only theoretical knowledge.

⚡ Quick answer

Uncodemy's Data Science programme for Delhi learners includes 5 guided projects plus 1 capstone project, built across the eleven curriculum modules on real datasets. Each project is designed so Delhi learners finish the course with a practical, interview-ready portfolio rather than only theoretical knowledge. Projects are completed whether you join the Delhi classroom centre or the live online batch.

Guided Projects

The 5 Guided Projects

Guided projects span retail, banking, HR, e-commerce and healthcare — the same sectors covered in Uncodemy's Data Science curriculum — applying Python, SQL, statistics, machine learning and BI tools learned across the modules.

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1. Retail Project

Applies EDA, Python and Power BI/Tableau skills to a retail dataset — analysing sales patterns, demand and inventory trends to build a reporting or forecasting output relevant to Delhi's large retail and e-commerce economy.

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2. Banking Project

Uses statistics, machine learning and classification techniques from Module 5 to address a banking-related problem such as risk scoring or customer segmentation, relevant to the financial services sector concentrated across Delhi NCR.

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3. HR Project

Applies SQL, EDA and machine learning to HR data — for example attrition analysis or workforce reporting — a common analytics need for corporate offices headquartered in Delhi.

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4. E-commerce Project

Combines Python, SQL and BI dashboarding to analyse customer behaviour, product performance or recommendation patterns, mirroring the kind of analytics work sought by e-commerce and technology companies hiring in the Delhi NCR market.

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5. Healthcare Project

Uses data cleaning, EDA and machine learning covered in Modules 4 and 5 to work through a healthcare-related dataset — for instance patient-flow or outcome analysis.

Module 11

The Capstone Project

In Module 11, each learner selects and builds an end-to-end capstone project on a real business dataset, combining skills from across the programme — Python, SQL, machine learning or deep learning, and a Power BI/Tableau dashboard or Gen AI component where relevant.

The capstone is built into a GitHub portfolio and dashboard showcase, and forms the centrepiece of your data science portfolio for interviews.

Portfolio

How Projects Build Your Portfolio

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Graded Assignments

Each of the 5 guided projects ends with a graded assignment on a real dataset.

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Multi-Tool Work

Projects apply tools from multiple modules together — Python, SQL, ML/DL and Power BI/Tableau.

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Learner-Chosen Capstone

The capstone project is chosen by the learner and reviewed as part of career preparation.

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GitHub Portfolio

Completed project work is organised into a GitHub portfolio and dashboard showcase.

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Interview-Credible

Your experience and guided projects are reviewed and refined into a portfolio an interview will find credible.

Have Questions?

Frequently Asked Questions

How many projects are included in the Delhi Data Science course?▾

The course includes five guided projects across retail, banking, HR, e-commerce and healthcare, plus one capstone project chosen by the learner.

Are the projects the same for classroom and live online batches in Delhi?▾

Yes. Delhi learners complete the same guided and capstone projects whether attending the Laxmi Nagar centre in person or joining live online.

Will I have a portfolio to show at interviews after finishing the projects?▾

Yes. Completed guided projects and the capstone project are organised into a GitHub portfolio and dashboard showcase, and reviewed as part of career preparation in Module 11.

Do the projects use real datasets?▾

Yes. Each project and its graded assignment is based on a real dataset relevant to the sector being studied.

Last reviewed: September 2026.