DATASCI 1000A/B

DATA SCIENCE CONCEPTS

0.50 credits

Students will learn how to visualize and analyze continuous and categorical data from various domains, using modern data science tools. Concepts of distributions, sampling, estimation, confidence intervals, experimental design, inference, correlation will be introduced in a practical, data-driven way.

Prerequisites & course information

Antirequisite(s): Statistical Sciences 1023A/B, Statistical Sciences 1024A/B, Statistical Sciences 2037A/B, Statistical Sciences 2857A/B . Prerequisite(s): One or more of Ontario Secondary School MCV4U, MHF4U, MDM4U, Mathematics 0109A/B, Mathematics 0110A/B, Mathematics 1229A/B, or equivalent. Extra Information: 3 lecture hours/week, 1 laboratory hour/week. Course Weight: 0.50

Sources

Course catalogue ↗2026-2027