Abstract
This chapter examines the critical stages of data analysis and interpretation in qualitative research, which are essential for transforming collected data into meaningful insights. Qualitative data, characterized by its volume and complexity, requires a methodical approach to uncover depth and context that quantitative data might overlook. The analysis process includes data preparation, coding, identifying themes, and visual representation, each playing a pivotal role in deriving nuanced understandings from textual and visual data. Theoretical frameworks guide the interpretation, ensuring analytical depth.