2018 Spring
STAT 28 001 - LEC 001
Statistical Methods for Data Science
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
Hours & Workload
2 hours of instructional experiences requiring special laboratory equipment and facilities per week, 3 hours of instructor presentation of course materials per week, and 8.6 hours of outside work hours per week.
Final Exam
THU, MAY 10TH
03:00 pm - 06:00 pm
Evans 60
Other classes by William Fithian
+ 1 Independent Study
Course Catalog Description
This is a lower-division course that is a follow-up to STAT8/CS8 (Foundations of Data Science). The course will teach a broad range of statistical methods that are used to solve data problems. Topics will include group comparisons and ANOVA, standard parametric statistical models, multivariate data visualization, multiple linear regression and classification, classification and regression trees and random forests. An important focus of the course will be on statistical computing and reproducible statistical analysis. The students will be introduced to the widely used R statistical language and they will obtain hands-on experience in implementing a range of commonly used statistical methods on numerous real world datasets.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
Textbook information is not available for Spring 2018.