2025 Fall
STAT C131A 001 - LEC 001
Formerly Statistics 131A
Statistical Methods for Data Science
Shobhana Murali Stoyanov
Class #:24648
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Statistics
Current Enrollment
Total Open Seats:
0
Enrolled: 70
Waitlisted: 30
Capacity: 70
Waitlist Max: 30
Open Reserved Seats:
20 reserved for Undergraduate Data Science Minors
Also offered as:
DATA C131A
Hours & Workload
3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Other classes by Shobhana Murali Stoyanov
Course Catalog Description
This course teaches a broad range of statistical methods that are used to solve data problems. Topics include group comparisons and ANOVA, standard parametric statistical models, multivariate data visualization, multiple linear regression, logistic regression and classification, regression trees and random forests. An important focus of the course is on statistical computing and reproducible statistical analysis. The course and lab include hands-on experience in analyzing real world data from the social, life, and physical sciences. The R statistical language is used.
Class Notes
Stat/Data C131a has open seats in Summer 2025 if students are interested in taking it over the summer.
Rules & Requirements
Requisites
- DATA/COMPSCI/INFO/STAT C8 or STAT 20; and MATH 1A, MATH 51, MATH 16A, or MATH 10A/10B. Strongly recommended corequisite: STAT 33A or STAT 133.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
Current Enrollment
Open Reserved Seats:
20 reserved for Undergraduate Data Science Minors
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials