DATA221
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Introduction to Data Science
Computer Science
SC - Faculty of Science
Subject
DATA - Data Science
Description
An introduction to commonly used programming tools and techniques for managing, visualizing, and making sense of data. Human implications of data collection, analysis, and use, including ethics, privacy, and alternate ways of knowing.
Prerequisite(s): Computer Science 217 or 231.
Prerequisite(s): Computer Science 217 or 231.
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-2)
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
Understanding Course Information
Please refer to Course Terminology and Description to better understand how to interpret course information such as GFC Hours, pre-requisites, course levels, etc.