DATASCI 2000A/B
INTRODUCTION TO DATA SCIENCE
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 in...
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Prerequisites
1.0 courses from Mathematics, Calculus, or Applied Mathematics (numbered 1000 and higher) with a minimum mark of 60%. DATASCI 1000A/B(with a minimum grade of 60%) can be used to meet 0.5 of the 1.0 mathematics course requirements.
Antirequisites
Extra Info
2 lecture hours/week, 2 laboratory hours/week.
Locations
Western Main Campus