Qualitative Data Analysis Course
This short, practical course shows you how to turn raw text feedback into clear, data-ready insights. Learn to source and clean comments, anonymise safely, code and group themes, and detect patterns, anomalies, and drivers of churn, NPS, and CSAT. Build concise themes, prioritise findings by impact and feasibility, and translate them into concrete actions, dashboards, and recommendations stakeholders can trust and use.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This short, practical course shows you how to turn raw text feedback into clear, data-ready insights. Learn to source and clean comments, anonymise safely, code and group themes, and detect patterns, anomalies, and drivers of churn, NPS, and CSAT. Build concise themes, prioritise findings by impact and feasibility, and translate them into concrete actions, dashboards, and recommendations stakeholders can trust and use.
Elevify advantages
Develop skills
- Turn raw customer text into clear BI insights that explain churn, NPS, and CSAT.
- Clean, anonymise, and document qualitative data for fast, reliable BI analysis.
- Code short feedback with a practical codebook to surface themes and hidden patterns.
- Build concise theme maps and quotes that reveal customer pain points and growth drivers.
- Translate themes into BI dashboards, KPIs, and concrete CX improvement actions.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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