DATASCI 1000A
0.50 credit · Main
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.
One or more of Ontario Secondary School MCV4U, MHF4U, MDM4U, Mathematics 0109A/B, Mathematics 0110A/B, Mathematics 1229A/B, or equivalent.
Statistical Sciences 1023A/B, Statistical Sciences 1024A/B, Statistical Sciences 2037A/B, Statistical Sciences 2857A/B.
3 lecture hours/week, 1 laboratory hour/week.
No reviews yet - be the first.