Overview

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This course will develop your skills in understanding and evaluating your data. It identifies the appropriate approach to coding and uses techniques to categorize and pull themes from your data, building confidence and proficiency in every stage of the data analysis process.

Syllabus

When and Why Do We Need Themes?
- This module introduces the process of qualitative data analysis and the role of themes in understanding qualitative research findings. You will explore how themes emerge from qualitative data, why they are important for interpreting meaning and patterns, and the types of data that can be used to generate rich and insightful thematic analysis.
Organizing and Transcribing Your Data
- This module introduces the first stage of qualitative data analysis: preparing and organizing data through transcription. You will learn how to manage qualitative data effectively, choose appropriate transcription approaches, and create accurate, useful transcripts that provide a strong foundation for analysis and theme development.
The Basics of Developing Codes
- This module introduces coding as a fundamental step in qualitative data analysis. You will learn what codes are, explore different approaches to coding qualitative data, and develop the skills to organize and interpret data systematically, laying the groundwork for identifying patterns, developing themes, and generating meaningful research insights.
How Do I Develop Codes?
- This module focuses on the practical process of coding qualitative data. You will learn how to identify meaningful information within your data, apply coding techniques to organize and interpret findings, and develop codes that capture important patterns and relationships, providing the foundation for deeper qualitative analysis and theme development.
How Do I Categorize Codes?
- This module focuses on the next stage of qualitative data analysis: developing categories from codes. You will learn how to review and organize related codes into meaningful categories, helping you identify broader patterns within your data and build a strong foundation for theme development and interpretation.
Finding Meaningful Themes
- This module focuses on the final stage of qualitative data analysis: developing and refining themes. You will learn how to identify meaningful themes from your categories, evaluate how well those themes reflect your data, and use evidence from your dataset to build well-supported and insightful interpretations of your qualitative findings.
Analyze Qualitative Data Glossary and References
- In addition to the glossary you’ll find woven throughout the course, you can find the full glossary collated in one place here.