This chapter explores the process of qualitative data analysis. We start by highlighting the goals and distinctive features of qualitative data analysis. We break down our discussion into multiple sections. First, we explain the various techniques of qualitative research, including narrative analysis, grounded theory, and thematic analysis, each of which provides a different perspective on the data. Subsequently, we explore the complexities of coding, which involves methodically labelling data segments to detect recurring themes and patterns. The crucial significance of data preparation, exploration, and organization is next discussed, focusing on the careful organizing and structuring required to support in-depth analysis. The next step is to navigate data synthesis, which involves creating narratives, creating links between codes and themes, or creating theoretical frameworks to explain the data. We conclude by looking at computer-assisted data analysis techniques. The last section emphasizes the need for data presentation and visualization.