2018 Fall
STAT C200C 001 - LEC 001
Formerly DATA C200
Principles and Techniques of Data Science
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
Also offered as:
COMPSCI C200A
Hours & Workload
7 hours of outside work hours per week, 1 hours of instructional experiences requiring special laboratory equipment and facilities per week, 1 hours of the exchange of opinions or questions on course material per week, and 3 hours of instructor presentation of course materials per week.
Final Exam
THU, DECEMBER 13TH
11:30 am - 02:30 pm
RSF Fieldhouse
Hearst Gym 220
Hearst Gym 237
LeConte 4
Other classes by Joshua A. Hug
Other classes by Fernando Perez
+ 1 Independent Study
Other classes by Scott Lee
Course Catalog Description
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.
Rules & Requirements
Credit Restrictions
Students will not receive credit for this course after taking CS c100 / Stat c100
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats