Student Performance Data Analysis

AHMAD Hilmi

This project involves a comprehensive analysis of student performance data using statistical methods. The analysis includes the creation of scatter plots to visualize relationships between variables such as study hours, class attendance, and parental involvement with student performance. The work is special because it provides clear visual insights into how different factors correlate with academic success, aiding in identifying key areas for improvement. The design was created using Excel tools for a professional and visually appealing presentation
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Posted May 4, 2025

Analyzed student performance data using statistical methods and Excel. Involved data entry, data cleaning and data visualization process.

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Timeline

Oct 1, 2024 - Oct 31, 2024

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