Chi-Square Law Course
Gain mastery over Chi-square tests from foundational theory to real-world application. Build contingency tables, verify assumptions, conduct analyses in R, Python, and Excel, and communicate findings clearly for critical decisions in statistics and public health. The course emphasises practical skills for handling complex categorical data scenarios, ensuring robust and ethical analyses suitable for high-impact public health applications.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Chi-Square Analysis Course equips you with hands-on skills to confidently analyse categorical data. You will learn to construct and validate contingency tables, perform and interpret Chi-square tests manually and using R, Python, and spreadsheets, manage clustered and survey data, address small samples and multiple comparisons, and effectively convey results and limitations to non-technical public health stakeholders.
Elevify advantages
Develop skills
- Apply Chi-Square tests using R, Python, and Excel on actual public health datasets.
- Validate Chi-Square assumptions, expected counts, and correct sparse or clustered tables.
- Select appropriately between Chi-Square, Fisher, McNemar, and logistic regression methods.
- Interpret odds ratios, risks, p-values, and explain them to non-technical audiences.
- Design reproducible Chi-Square analyses that adhere to ethical guidelines.
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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