Spring 2025

STAT 214 001 - LEC 001

Data Analysis and Machine Learning for Real-World Decision Making

Bin Yu

Jan 21, 2025 - May 09, 2025

Tu, Th

09:30 am - 10:59 am

Etcheverry 3106

Class #:33414

Units: 4

Instruction Mode: In-Person Instruction

Offered through Statistics

Current Enrollment

Total Open Seats: 3

Enrolled: 57

Waitlisted: 0

Capacity: 60

Waitlist Max: 0

Open Reserved Seats:

5 reserved for Students with Enrollment Permission

2 reserved for Statistics Graduate: Masters Students

Hours & Workload

3 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.

Other classes by Bin Yu

+ 1 Independent Study

STAT 299 029 029IND

This is an MA class in statistics. Students will be engaged in open-ended data projects for decision making to solve domain problems. It mirrors the entire data science life cycle in practice, including problem formulation, data cleaning, exploratory data analysis, statistical and machine learning modeling and computational techniques, and interpretation of results in context. It is guided by the Predictability-Computability-Stability (PCS) framework for veridical data science and emphasizes critical thinking and documenting human judgment calls and code. It coaches not only the technical but also communication and teamwork skills in order to obtain responsible and reliable data-driven conclusions for solving complex real world problems.