Home/Data Analytics Projects in Delhi
Portfolio Guide · Reviewed September 2026Employers evaluating a fresher Data Analyst increasingly ask to see a project, not just a certificate. This page lists real, completed projects from Uncodemy's Data Analytics batches to show the depth and type of work Delhi learners actually build.
Uncodemy's Data Analytics course in Delhi includes 5 guided projects plus 1 capstone project, covering SQL, Python, Excel, Power BI and Tableau across real business domains — retail, HR, e-commerce and healthcare. Every project is reviewed by an assigned trainer and published with a public GitHub link, so it becomes a verifiable part of a learner's job-search portfolio.
Tools: Python, Excel, Power BI, SQL
An end-to-end sales analytics project using SQL Server for data cleaning and transformation, and Power BI for building an interactive dashboard with charts, maps and pivot tables — driven by defined business requirements and user stories.
Trainer: Ms. Rachna Verma, Data Analytics Trainer
Student: Sagar Baijrao Shembade, placed as Data Analyst at SmartStudy (₹3.25 LPA)
Tools: Power BI, DAX, CSV, GitHub, PostgreSQL, PgAdmin4
This project uses SQL to analyse a dataset from an online music store to answer key business questions about store performance and support growth decisions. It involves creating a database, defining tables from a schema diagram, and writing SQL queries to extract insights.
Reviewer: Dr. Vijay K. Gupta, MD & CEO
Student: Ankit Singh, placed as Data Analyst at FINELABS (₹4.8 LPA)
Tools: Python, Pandas, Jupyter Notebook, GitHub
A Python-based analytics project exploring case trends, mortality rates and geographic patterns using Pandas, NumPy and Matplotlib, following a complete workflow of data cleaning, exploratory data analysis, visualisation and insight generation on real-world pandemic data.
Trainer: Mr. Upendra Kumar Tiwari, Senior Data Science Trainer
Student: Shruti Saxena, placed as Data Analyst at Jephus Healthcare, Delhi (₹3.0 LPA)
Tools: Python, SQL, Power BI, DAX
A complete end-to-end analytics project integrating Python, SQL and Power BI to deliver HR, Sales and Performance insights for a simulated organisation.
Trainer: Ms. Rachna Verma, Data Analytics Trainer
Student: Rajat Kashyap, placed as Data Analyst at Hexalog, Delhi (₹4.0 LPA)
Tools: Python, Jupyter Notebook, Power BI, SQL
A full data analytics workflow on IPL cricket data — from raw CSV loading through deep statistical analysis and 44+ visualisations spanning batting, bowling, team, season and match dimensions.
Trainer: Mr. Upendra Kumar Tiwari, Senior Data Science Trainer
Student: Pawan Mehra, placed as MIS Analyst at upGrad (₹5 LPA)
Each project is built on a real or realistically simulated business dataset, not a pre-cleaned "toy" dataset.
Projects require combining at least two tools (e.g., SQL + Power BI, or Python + Power BI) rather than a single-tool exercise.
Every project is signed off by a named trainer and linked to a real placement outcome, making the portfolio verifiable rather than a generic template.
Source code and dashboards are published to GitHub, so recruiters can review the actual work, not just a description of it.
Learners complete guided projects through Modules 1–8 of the syllabus, and then build an original capstone project in Module 9 on a business dataset of their choosing — often aligned to the sector (BFSI, e-commerce, healthcare, etc.) they want to be hired into. This capstone, combined with the guided projects, forms the GitHub portfolio and dashboard showcase presented in interviews.
5 guided projects across different business domains, plus 1 capstone project of your own choosing.
Both — some use real public datasets (e.g., COVID-19 case data, IPL match data), while others use realistically structured business scenarios (sales, HR, music-store performance) reflecting how companies actually organise their data.
Yes. Module 9 (Capstone Projects & Career Preparation) is specifically dedicated to building a GitHub portfolio and dashboard showcase alongside resume and LinkedIn preparation.
Every project is assigned to and reviewed by a named trainer (e.g., Ms. Rachna Verma, Mr. Upendra Kumar Tiwari) as part of the program.
Yes — GitHub links for completed student projects such as the Sales Analysis Dashboard, Music Store Analysis and IPL Analysis Dashboard are published on Uncodemy's Data Analytics Course in Delhi page.
Last reviewed: September 2026. Placement figures sourced from: Uncodemy internal placement records.
See the SQL, Excel, Power BI and case-study questions Delhi NCR employers actually ask.