DS-502 Probability and Statistics
Topics include random variable and distribution; expectation and variance; special discrete/continuous distributions (uniform, binomial, negative binomial, geometric, hypergeometric, Poisson, normal, and exponential distributions); joint distribution, marginal distribution, and conditional distribution; covariance; limit theorems (law of large numbers and central limit theorem); and (when time permits) introduction to confidence interval and hypothesis testing; regression analysis. This is an MSDS leveling course.
Prerequisite
Students who specified one or more of these Programs of Study or Program Foci Master of Science in Data Science MSDS
Offered
Spring