Subject
DATA - Data Science
Description
An introduction to the foundations of statistical inference including probability models for data analysis, classical and simulation-based statistical inference, and implementation of statistical models with R.
Prerequisite(s): Admission to the Graduate Certificate in Fundamental Data Science and Analytics or the Master of Data Science and Analytics.
Prerequisite(s): Admission to the Graduate Certificate in Fundamental Data Science and Analytics or the Master of Data Science and Analytics.
GFC Hours
(3-0)
Domestic Fee Rate Group
H
International Fee Rate Group
G
Signature Learning
Research & Creative Scholarship
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
LEC
Units
3
Repeat for Credit
No