2018 Fall
STAT C100 001 - LEC 001
Principles & Techniques of Data Science
Current Enrollment
Total Open Seats:
23
Enrolled: 752
Waitlisted: 0
Capacity: 775
Waitlist Max: 400
No Reserved Seats
Also offered as:
COMPSCI C100
Hours & Workload
1 hours of instructional experiences requiring special laboratory equipment and facilities per week, 3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material 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
In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction, and decision-making. This class will focus on quantitative critical thinking and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats