Categorical Data Analysis Course
This course equips learners with essential techniques for analyzing categorical data, including summarization, visualization, statistical testing, and modeling, applied to real-world retail scenarios.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Categorical Data Analysis Course provides you with practical skills to work confidently with real-world categorical variables. Learn to summarise and visualise categories, construct and interpret contingency tables, conduct chi-square tests, and apply logistic regression for binary outcomes. You’ll clean web session data, prepare variables, and present clear, actionable insights and recommendations for online retail decisions.
Elevify advantages
Develop skills
- Logistic regression mastery: model binary outcomes and interpret odds ratios quickly.
- Chi-square and Fisher tests: assess categorical associations with confidence.
- Contingency table analytics: compute effects, Cramér’s V, and visualise patterns.
- Retail data preparation skills: clean, encode, and validate US e-commerce session data.
- Executive-ready reporting: turn categorical findings into clear, actionable insights.
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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