Categorical Data Analysis Course
Gain expertise in categorical data analysis using logistic regression, chi-square tests, and contingency tables. Develop skills to clean web data, apply robust statistical models, and convert results into practical business recommendations for retail decisions. This course equips you with hands-on techniques for summarising categories, testing associations, and delivering clear insights from real-world data.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course builds practical skills for analysing categorical data confidently. You will learn to summarise and visualise categories, construct contingency tables, perform chi-square tests, and use logistic regression for binary outcomes. Apply these to clean web session data, prepare variables, and generate actionable insights for online retail strategies.
Elevify advantages
Develop skills
- Master logistic regression to model binary outcomes and interpret odds ratios quickly.
- Conduct chi-square and Fisher tests to evaluate categorical associations confidently.
- Analyse contingency tables by computing effects, Cramér’s V, and visualising patterns.
- Prepare retail data by cleaning, encoding, and validating e-commerce session data.
- Create executive reports that transform categorical findings into actionable insights.
Suggested summary
Before starting, you can change the chapters and 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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