An introduction to the foundations of statistical inference including the application of probability models to data, as well as an introduction to simulation-based and classical statistical inference, and the creation of statistical models with R.
This course may not be repeated for credit.
Prerequisite(s)
- 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.