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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.

Conditions for Enrolment

Prerequisite: Must be enrolled in 5646 or 8646 and have completed ZZSC9001 Foundations of Data Science and ZZSC5905 Statistical Inference for data scientists or equivalent

Delivery

Fully online - Intensive

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Fees

TypeAmount
Commonwealth Supported Students (if applicable)$516
Domestic Students$4320
International Students$6090

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Commonwealth Supported Students:

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Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions