Data Analytics Challenge

Turn data into powerful insights in the Data Analytics Challenge! Analyze real-world datasets, develop efficient analytical solutions, and present meaningful conclusions through data-driven decision-making. Showcase your coding, visualization, and problem-solving skills as you compete to solve practical challenges using Python and analytics. Eligibility: Open to all students across disciplines. Team size: 2 to 4 members . Inter-college and inter-specialization teams allowed. One member must be designated as the Team Leader . Event Details: Format: Two-stage competition. Round 1: Python Notebook & Report Submission (Online). Round 2: Final Presentation (Offline at MANIT, Bhopal*). Challenge Objective: Analyze the given dataset, develop an effective analytical solution, and communicate key findings through a structured report and presentation. System Focus: Data preprocessing, feature engineering, exploratory data analysis, visualization, model development, and result interpretation. Round 2 Presentation: 15-minute presentation followed by a 5-minute Q&A session. Rules: One Submission Per Team. Round 1 Submission: Teams must submit both a Python Notebook and a technical report ; failure to submit either will result in disqualification. Presentation Mandatory: Only shortlisted teams will present their solution. Original Work Only: All code, analysis, and documentation must be the team's own work. Technical Evaluation: Solutions will be judged on code quality, problem-solving approach, and presentation. Disqualification: Failure to submit both the Python Notebook and report. Submission of plagiarized, copied, or AI-generated work. Violation of submission guidelines or competition rules. Misconduct or attempts to gain an unfair advantage during any stage of the competition. Note: Teams facing genuine difficulties in attending the offline presentation may be permitted to present online, subject to approval by the organizing committee. For complete details, dataset, guidelines, and evaluation criteria, refer to the link below: https://drive.google.com/drive/u/3/folders/1BjDoOYU_3tPWtSyNtj7cx2juw3stavLW