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Market Research Data Processing & Analysis Course

Market Research Data Processing & Analysis Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Master the essentials of market research data processing and analysis in a short, practical course. Learn to clean messy survey files, build reliable variables, run descriptive statistics, model satisfaction drivers, and segment NPS groups. Explore text analysis of open comments, create clear visual summaries, and turn insights into concise, actionable recommendations and professional reporting deliverables.

Elevify advantages

Develop skills

  • NPS segmentation mastery: quickly classify, profile, and compare customer groups.
  • Fast survey data cleaning: fix missing values, outliers, and messy categories.
  • Practical driver analysis: pinpoint key satisfaction levers with clear stats.
  • Lean text analytics: extract themes, sentiment, and quotes from open comments.
  • Insight-to-action reporting: turn findings into sharp, metric-based recommendations.

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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