Overview

This intensive course provides an introduction to probability and distribution theory and introductory Statistical Inference. Students will learn the fundamental principles of inference: sufficiency, likelihoods, maximum likelihood and Bayesian methods. Estimation, confidence set construction and hypothesis testing, and computationally intensive methods such as the bootstrap method are also discussed. This … For more content click the Read More button below. This course is only available to students enrolled in the postgraduate Data Science programs 7446, 5646, 8646.

Delivery

Fully online - Intensive

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)