An introduction to the creation of complex statistical models, including exposure to multivariate model selection, prediction, the statistical design of experiments and analysis of data in R.
This course may not be repeated for credit.
Prerequisite(s)
- Data Science 602 and admission to the Post-baccalaureate Certificate in Fundamental Data Science and Analytics or the Post-baccalaureate Diploma in Data Science and Analytics.
Sections
This course will be offered next in
Fall 2019.