Academic Calendar - 2021

Western University Academic Calendar. - 2021
Western Main Campus

Data Science 2000A/B


Covers three basic concepts of data science together with the corresponding techniques: Sampling to estimate properties of a population (Bootstrap), random assignment and experiments to make causal inferences (randomization test), and model selection to enable good predictions (cross-validation). Emphasizes practical data handling and programming skills in Python.

Antirequisite(s): Integrated Science 2002B.

Prerequisite(s): 1.0 courses from Mathematics, Calculus, or Applied Mathematics (numbered 1000 and higher) with a minimum mark of 60%. Data Science 1000A/B (with a minimum grade of 60%) can be used to meet 0.5 of the 1.0 mathematics course requirements.

Extra Information: 2 lecture hours/week, 2 laboratory hours/week.

Course Weight: 0.50
Breadth: CATEGORY C i  
Subject Code: DATASCI

This Course is Mentioned in the Following Calendar Pages: