ExamIDs2026a

Description This practicum builds custom Python functions from scratch to perform end-to-end data science on the Student Performance Dataset. All functions are hand-coded without relying on pre-built library shortcuts, covering: Data Preparation — structuring and validating raw data Data Cleaning — handling missing values and outliers Data Transformation & Feature Engineering — normalization, encoding, new features Statistical Analysis — descriptive stats and correlation