Categorical Data Analysis Using Logistic Regression

Who is this course for?

This course is designed for individuals interested in gaining advanced expertise in analyzing categorical data through logistic regression. It's ideal for those who aim to understand the complexities behind binary or multinomial outcome variables and how these can be modeled to inform practical decision-making in fields such as health science, marketing, and more.

Whether you're a data scientist, a statistician looking to brush up on the latest analysis techniques, or a student in a quantitative field, this course will provide the skills and understanding necessary to implement logistic regression models effectively. Prior experience with basic statistical concepts and a familiarity with any statistical software would be beneficial.

Target audience:

• Data Analysts and Scientists seeking specialized skills in categorical data

• Graduate students in Statistics, Biostatistics, or Epidemiology

• Research professionals in government or industry roles

• Business analysts who require statistical tools for outcome prediction

• Data-driven decision makers in healthcare and marketing sectors

• Academic professionals needing advanced analytical techniques for research