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Data Analytics & Visualization Track

Transform raw data into meaningful insights and compelling visualizations. This track challenges you to create innovative solutions that make data more accessible, understandable, and actionable for diverse users and use cases.

Data Analytics & Visualization Track

The Data Analytics & Visualization track challenges participants to develop innovative solutions that transform raw data into meaningful insights and compelling visualizations. From interactive dashboards to predictive analytics tools, this track offers a wide range of problem statements to tackle.

Key Focus Areas

  • Transform complex data into clear, intuitive visualizations
  • Enable data-driven decision-making for diverse users
  • Apply analytical techniques to extract meaningful insights
  • Ensure user experience & accessibility in design
  • Demonstrate scalability & performance with large datasets

Technologies

Python (Pandas, NumPy, Seaborn)
Matplotlib & Plotly
D3.js, Chart.js, Power BI
Tableau & Business Intelligence
Spark & Dask (Big Data)
Machine Learning for Analytics

Submission Requirements

  • A working prototype or demo
  • Source code repository with documentation
  • A presentation explaining approach & results
  • Description of the problem & significance
  • Explanation of analytical techniques used
  • Discussion of limitations & future improvements

Ready to Get Started?

Browse the problem statements, gather your team, and start building your data analytics solution!