This document provides an overview of qualitative data analysis techniques. It discusses how qualitative analysis differs from quantitative analysis in that the data is textual rather than numerical. Qualitative analysis is inductive and focuses on understanding participants' perspectives through an emic lens. The analysis is iterative and progressive, with the researcher continually refining their focus based on initial interpretations of the data. There is no single correct way to analyze qualitative data, as it involves both science and art. Techniques include coding, categorizing, examining relationships, and using computer assistance programs, while ensuring reflexivity and getting critical feedback.