DATA211
Download as PDF
Programming with Data
Computer Science
SC - Faculty of Science
Subject
DATA - Data Science
Description
A hands-on introduction to basic coding skills, including core programming concepts and the fundamentals of reading, writing, and executing code -- with a focus on data manipulation. Emphasizes important tools and practices for programming with data, including development environments, source control, and debugging.
Prerequisite(s): Data Science 201.
Antirequisite(s): Credit for Data Science 211 and any one of Computer Science 215, 217, 231, 235, Computer Engineering 339, Engineering 233 and Digital Engineering 233 will not be allowed.
Prerequisite(s): Data Science 201.
Antirequisite(s): Credit for Data Science 211 and any one of Computer Science 215, 217, 231, 235, Computer Engineering 339, Engineering 233 and Digital Engineering 233 will not be allowed.
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (2-3)
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.