Data Analytics Hackathon

This is a build-and-analysis-focused Data Analytics Hackathon designed for students, aspiring analysts, data professionals, and problem-solvers who want to turn raw data into meaningful insights and actionable recommendations.

What You'll Do:

On 27th September, 11 AM to 12 PM (IST) participants will work with a real-world dataset provided by the organizers and perform an end-to-end data analysis by:

• Understanding the business problem and dataset.

• Cleaning, transforming, and preparing the data.

• Exploring patterns, trends, and relationships.

• Performing quantitative and statistical analysis.

• Building meaningful visualizations and dashboards.

• Identifying key insights and actionable recommendations.

• Presenting your analysis and findings.

The challenge is centered around using data to solve real-world problems by turning raw datasets into clear insights and data-driven decisions.

By the end of the Hackathon, you'll have a complete analysis project that can be showcased in your portfolio, discussed during interviews, or further developed into a real-world analytics solution.

Who Can Participate?

• Individuals and teams are welcome.

• Recommended team size: Max 2 members & Individualy can also Participate.

• Beginners and experienced analysts can participate.

• Participants can use Python, SQL, Excel, Power BI, Tableau, and other analytics tools.

Project Requirements:

Every team must:

• Perform the analysis using the dataset provided during the event.

• Clearly document the analysis process and methodology.

• Explain the problem statement, approach, findings, and recommendations.

• Submit a complete and functional analysis with supporting visualizations.

Submission Checklist:

To complete your submission, provide:

• Final analysis report or presentation.

• Dashboard and/or data visualizations.

• Source code/notebook or analysis file, where applicable.

• Brief explanation of the methodology and key findings.

• Key insights and actionable recommendations.

Rules & Judging Criteria:

Event Rules:

• Participants must use the dataset provided by the organizers.

• Pre-built analyses or previously completed projects are not permitted.

• External tools, libraries, and publicly available resources may be used.

• Any form of plagiarism or unauthorized copying will result in disqualification.

• Participants must disclose the use of AI tools in their analysis or submission.

• All submissions must be completed and submitted…

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Curated listing from Unstop. Organized by Gradient Learnings. RSVP happens on the organizer's page until they claim it. Run this event? [Claim it on Jamao](/e/data-analytics-hackathon/claim) to get free RSVPs, WhatsApp reminders and UPI payouts.