University of Calgary
DATA 606 - Statistical Methods in Data Science - Winter 2025
Design of surveys and data collection, bias and efficiency of surveys. Sampling weights and variance estimation. Multi-way contingency tables and introduction to generalized linear models with emphasis on applications.
This course may not be repeated for credit.
This course may not be repeated for credit.
Hours
- H(3-0)
Prerequisite(s)
- Data Science 601, 602, 603, 604 and admission to the Graduate Diploma in Data Science and Analytics, or the Master of Data Science and Analytics.
Sections
LEC 1 MW 17:00 - 19:45 Notes:LEC 2 MW 09:00 - 11:45 Qingrun Zhang Notes:
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