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Overview

Regression is a set of statistical techniques widely used to analyse relationships between several variables. In this course, students will explore the applications of a range of regression techniques, including: linear regression; analysis of variance (ANOVA) and analysis of covariance (ANCOVA); generalised linear and generalised additive models; generalised local likelihood; … 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 covers the same topics as in MATH5806 and 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)$556
Domestic Students$4800
International Students$4800

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Commonwealth Supported Students:

Please refer to the information about new Student Contribution band classifications. Note that grandfathering arrangements are applicable for some cohorts of students, and other special arrangements apply for a limited number of programs. The Field of Education displayed on the right-hand side of this page may be applicable in understanding which fee rate will apply to you.

Where a Commonwealth Supported fee is displayed it does not guarantee that such places are available.

Pre-2019 Handbook Editions

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