Data analysis is an essential skill for students and researchers, yet many beginners struggle to use statistical software such as SPSS due to limited practical guidance. DIY Data Analysis in SPSS: A Beginner’s Step-by-Step Guide Using Student Performance Data addresses this challenge by providing a structured, hands-on approach to data analysis. Rather than focusing solely on statistical procedures, the book demonstrates how SPSS can be used to answer meaningful research questions, helping readers understand not only how to perform analyses but also how to interpret and communicate findings effectively. A key strength of this book is its use of a real student performance dataset obtained from Kaggle. Through a series of guided activities, readers learn how to transform research questions into analytical tasks, select appropriate statistical techniques, and interpret results in context. By following a complete research workflow—from data preparation and exploration to hypothesis testing and interpretation—readers gain practical experience that can be directly applied to academic assignments, research projects, and evidence-based decision-making.