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 Graduate Certificate in Fundamental Data Science and Analytics, or the Graduate Diploma in Data Science and Analytics, or the Master of Data Science and Analytics.
Sections
This course will be offered next in
Fall 2022.