The Short Course in Qualitative Data Analysis for Beginners is a 10-hour introductory program (Rs. 5,000) designed to provide a simplified and practical introduction to analyzing non-numerical data. Conducted online over five days, the course focuses on systematic techniques for interpreting interview transcripts, focus groups, and field notes. Participants gain hands-on experience in data preparation, coding, and thematic analysis using tools like Microsoft Word, Google Docs, and an introduction to NVivo.
Learner Profile (Simple)
A graduate of this course is an analytical thinker capable of transforming raw textual data into structured findings. They are skilled in organizing transcripts, applying coding techniques, and identifying meaningful themes and patterns. Equipped with the ability to use quotes effectively and link findings to research objectives, these learners are prepared to conduct reliable qualitative analysis for academic studies or professional research projects.
Course Fee: Rs. 5,000 | Duration: 10 Hours (5 Days | 2 Hours per Day) | Mode: Online
Course Aim: This short course provides a simplified and practical introduction to qualitative data analysis. It focuses on developing essential skills required to analyze non-numerical data such as interview transcripts, open-ended survey responses, and field notes using systematic and interpretive techniques.
Target Group: Undergraduate students, postgraduate students, early-career researchers, and professionals interested in qualitative research.
Teaching & Learning Methods: The program covers conceptual introductions combined with dedicated daily practical sessions, utilizing suggested standard document processing tools and providing optional software exposure.
Assessment & Participation: Evaluation and grading guidelines are based directly on active participation in practical activities and the successful completion of a basic qualitative analysis task.
| Day | Core Topics Covered | Practical Activities |
|---|---|---|
| Day 1 | Meaning and importance of qualitative analysis; Types of qualitative data (interviews, focus groups, documents); Overview of qualitative research approaches; Introduction to the analysis process. | Reviewing sample qualitative data. |
| Day 2 | Transcribing interviews; Organizing data (documents, transcripts); Reading and re-reading data; Memo writing and initial observations (Suggested Tools: Microsoft Word, Google Docs). | Preparing and organizing a transcript. |
| Day 3 | Introduction to coding; Open coding; Axial coding (basic understanding); Developing categories. | Coding a sample interview transcript. |
| Day 4 | Identifying themes and patterns; Grouping codes into themes; Developing thematic maps; Ensuring reliability and validity. | Developing themes from coded data. |
| Day 5 | Interpreting qualitative findings; Using quotes effectively; Writing qualitative results; Linking findings to research objectives; Optional Software Exposure: NVivo (basic introduction). | Writing a short qualitative analysis report. |
Certification: Participants who complete all sessions will receive a Certificate of Completion (Digital). Printed certificates are available upon request with the applicable fee.
