🎓 TAP Funding Analysis – NYC Institutions

This project presents a statistical analysis of New York State's Tuition Assistance Program (TAP) across SUNY, CUNY, and private institutions. Using over 260,000 real-world records, we explored funding differences by income level, age group, dependency status, and sector type.

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📊 Project Summary

• 🧾 Dataset: 259,983 rows across 23 academic years
• 🧠 Methods: T-tests, ANOVA, Chi-square, Linear Regression
• 🧰 Tools: Python (pandas, matplotlib), LaTeX (report), Tableau (visuals)

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📁 Files Included

• STAT_Project_Report.pdf → Final project report
• Project_Code.ipynb → Python notebook with full analysis
• TAP.csv → Cleaned dataset
• Report_Latex_code.tex → LaTeX source for report

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👥 Authors

• Atharv Kadam
• Rahul Ganesan
• Dnyaneshwari Rakshe

MS Data Science – University of Colorado Boulder

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📬 Connect

📫 LinkedIn – Atharv Kadam
🔗 GitHub – AtharvKadammm