Summary

This project sets out to identify the determinants of job acquisition and starting salary for recent graduates, using a Kaggle dataset for in-depth analysis. By applying a variety of hypothesis testing methods including T-tests, ANOVA, and Chi-Square tests, the study examines the influence of GPA, gender, major, and work experience on employment outcomes. The project's objective is to provide data-driven insights to assist prospective students in making informed decisions about their education and career paths