Overview

Regression is a set of statistical techniques widely used to analyse relationships between several variables. The topics covered in this course include: linear regression; weighted least squares; generalised linear models; tting GLMs and diagnostics; Poisson, binomial regression; analysis of variance; penalised regression methods; splines; penalised splines; thin plate splines; variable … For more content click the Read More button below. The lectures will be complemented with worked examples using the R data analysis and statistical programming software. This online course is only available to students enrolled in the online Diploma of Data Science and the online Master of Data Science

Conditions for Enrolment

Must be enrolled in 5646 or 8646

Delivery

Fully online - Intensive

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)