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As a data analyst with strong attention to detail and curiosity, my goal for this project was to dive deep into the dataset and uncover meaningful insights into the factors influencing student performance.

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Shivi2599/Student_Performance_Factors_Kaggle

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Student Performance Factors Analysis

Overview

As a data analyst with strong attention to detail and curiosity, my goal for this project was to dive deep into the dataset and uncover meaningful insights into the factors influencing student performance. This dataset includes information on study habits, attendance, parental involvement, and other behavioral aspects that impact academic success.

I aimed to reveal the key drivers behind student outcomes and provide actionable insights for improving student performance.

Primary Objective

The primary goal of this project is to understand which factors most significantly influence student exam performance and to develop data-driven strategies to support educational improvements.

Dataset Description

The dataset includes various factors affecting student performance in exams, such as:

  • Study Habits: Hours studied, frequency of study sessions.
  • Attendance: Percentage of classes attended.
  • Parental Involvement: Level of parental engagement and education.
  • Socioeconomic Factors: Parental education level, access to resources.

Other Factors: Sleep hours, teacher quality, motivation levels.

About

As a data analyst with strong attention to detail and curiosity, my goal for this project was to dive deep into the dataset and uncover meaningful insights into the factors influencing student performance.

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