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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. 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

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

Please note that the above delivery information is an indication on how this course may be delivered within the year.  Delivery mode(s) for each term can be viewed on other sources such as myUNSW and class timetable site.

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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