Subject
DATA - Data Science
Description
An introduction to fundamental data science concepts including basic data organization, data collection, and data cleaning. Provides a review of basic programming concepts in Python, as well as an introduction to problem-solving concepts including algorithmic complexity, recursion, vectorization, and regular expressions. Covers the fundamentals of data visualization and critical thinking.
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
Entrepreneurial Thinking, 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