2017 Fall
COMPSCI C100 001 - LEC 001
Principles & Techniques of Data Science
Joseph Edgar Gonzalez, Deborah A Nolan
Class #:45030
Units:4
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
0
Enrolled: 0
Waitlisted: 0
Capacity: 0
Waitlist Max: 0
No Reserved Seats
Hours & Workload
1 hours of instructional experiences requiring special laboratory equipment and facilities, 3 hours of instructor presentation of course materials, 7 hours of outside work hours, and 1 hours of the exchange of opinions or questions on course material.
Final Exam
THU, DECEMBER 14TH
08:00 am - 11:00 am
Valley Life Sciences 2050
Other classes by Joseph Edgar Gonzalez
Other classes by Deborah A Nolan
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
Textbooks & Materials
Textbook information is not available for Fall 2017.