DATA-50100 Probability and Statistics for Data Scientists

This course covers aspects of probability theory and statistical analysis used in data science. Students will study elementary probability theory, basic combinatorics, conditional probability and
independence, Bayes’ rule, random variables, mathematical expectation, discrete and continuous distributions, estimation theory, and tests of hypotheses. This course requires the use of statistical
computing with the R programming language for solving sample problems.

Credits

3

Prerequisite

DATA 50000 or prior coursework in Calculus