MATH 527D1 — Statistical Data Science Practicum

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).

• Credits: 3
• Faculty: Faculty of Science
• Department: Mathematics and Statistics
• Taught by: Jose Andres Correa, Russell Steele
• Prerequisites: MATH 324; MATH 223 ; MATH 208

Sections offered

• Section 001 (Lec), Mon Wed 10:05-11:25 am — 1 seats open