Graduate Certificate in Multilevel Modeling with R
Designed for data analysts and researchers, this program teaches advanced statistical techniques using R.
Learn to analyze complex data structures, including clustered and longitudinal data, with multilevel modeling.
Some of the key concepts covered include:
random effects, fixed effects, and variance components, as well as model diagnostics and interpretation.
Develop practical skills in using R packages such as lme4 and brms to implement multilevel models.
Gain expertise in applying multilevel modeling to real-world problems in fields like social sciences, healthcare, and business.
Take the first step towards a career in data analysis and research with this graduate certificate program.