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Qualitative Data Analysis Course

Qualitative Data Analysis Course
from 4 to 360h 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, anonymize safely, code and group themes, and detect patterns, anomalies, and drivers of churn, NPS, and CSAT. Build concise themes, prioritize 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, anonymize, 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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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