This project examines the relationship between parental education and student academic success using the Student Performance (PIP) dataset. It investigates whether students with more highly educated parents perform better academically or are less likely to drop out, using t-tests, bootstrap, permutation, and chi-square analyses.

This repository demonstrates big data processing, visualization, and machine learning using tools such as Hadoop, Spark, Kafka, and Python.