Statistics (STAT) Courses>Data Science

STAT123 - Data Science

Description

A marriage of computational and inferential thinking that enables analysts to use data to make good decisions. Introduces and develops the foundational skills required to tackle complex data science projects. Topics covered include: R programming, data visualization in R, data wrangling, statistical foundations and introductory regression modelling.

Units

1.5

Hours: lecture-lab-tutorial

3-1-0

Note(s)

  • Not open for credit to students with credit in 300- or 400- level STAT course.
  • Cannot be counted towards the 3-unit credit limit for lower-level statistics courses.

Prerequisites

  • Complete 1 of the following
    • Complete 1 of the following
      • Complete all of:
        • MATH120 - Precalculus Mathematics (1.5)
      • Completed Pre-Calculus 12 or Principles of Mathematics 12 with a minimum grade of C+ (67%)
    • permission of the department.

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

Use the buttons below to search the timetable. If the search results show 0 classes and the message ‘Please search again’, then the class is not scheduled for the selected term.