Data Science Practice

Undergraduate | 2026

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area/catalogue icon
Area/Catalogue
STAT 3004
Course ID icon
Course ID
200030
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
3
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

This course aims to equip students with the knowledge and skills to fit predictive models to real-life datasets. Building up the linear models and R coding learned in Statistical Practice, students will learn the general framework of predictive modelling both regression and classification, and how to implement the models in R, interpret the models and communicate to a general audience.  

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A