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.
Sections
| LEC 1 | TR 09:00 - 11:45
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| LEC 2 | TR 17:00 - 19:45
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This course will be offered next in
Winter 2021.