MATH 527D1. Statistical Data Science Practicum.
Credits: 3
Offered by: Mathematics and Statistics (Faculty of Science)
This course is not offered this catalogue year.
Description
The holistic skills required for doing statistical data science in practice. Data science life cycle from a statistics-centric perspective and from the perspective of a statistician working in the larger data science environment. Group-based projects with industry, government, or university partners. Statistical collaboration and consulting conducted in coordination with the Data Science Solutions Hub (DaS^2H) of the Computational and Data Systems Initiative (CDSI).
- Prerequisites: MATH 324; MATH 223 ; MATH 208
- Corequisites: MATH 423
- No credit will be given for this course unless both MATH 527D1 and MATH527D2 are successfully completed in consecutive terms.