Subject
DATA - Data Science
Description
A substantial research project in the field of Data Science. The project will consist of all of the elements in the data cycle: collection, cleaning, exploratory analysis, statistical and computational analysis and presentation.
Prerequisite(s): Data Science 414, 443, 471; and admission to the Data Science Major.
Antirequisite(s): Credit for Data Science 502 and 501 will not be allowed.
Prerequisite(s): Data Science 414, 443, 471; and admission to the Data Science Major.
Antirequisite(s): Credit for Data Science 502 and 501 will not be allowed.
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (1.5-5)
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LAB
Component
LEC
Units
3
Repeat for Credit
No
Subject code
DATA