Inference for Categorical Data in R

Overview

This advanced statistical course explores methods for analyzing categorical data in R. From opinion polls to genomics data, you examine tools designed to distinguish genuine underlying structure from random statistical noise.

Who It Is For

Advanced R users, data scientists, and statisticians who analyze categorical metrics and need rigorous inferential techniques.

Key Takeaways

• Extract meaningful signals from noisy categorical datasets.
• Identify structural patterns versus random statistical variations.
• Apply categorical inference concepts across polling, genomics, and digital data.