An introduction to the foundations of statistical inference including probability models for data analysis, classical and simulation-based statistical inference, and implementation 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
| LEC 1 | TR 09:00 - 11:45
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| LEC 2 | TR 17:00 - 19:45
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| LEC 3 | TR 13:00 - 15:45
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This course will be offered next in
Winter 2025.