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Unit of study_

Statistical Learning and Data Mining - QBUS6810

Year - 2018

It is now common for businesses to have access to very rich information data sets, often generated automatically as a by-product of the main institutional activity of a firm or business unit. Data Mining deals with inferring and validating patterns, structures and relationships in data, as a tool to support decisions in the business environment. This unit offers an insight into the main statistical methodologies for the visualization and the analysis of business and market data. It provides the tools necessary to extract information required for specific tasks such as credit scoring, prediction and classification, market segmentation and product positioning. Emphasis is given to business applications of data mining using modern software tools.

Classes
1x 2hr lecture and 1x 1hr tutorial per week

Assessment
group project (25%), in-class quizzes (25%), final exam (50%)

Pre-requisites

ECMT5001 or QBUS5001

Details

Faculty: Business (Business School)

Semester 1

05 Mar 2018

Department/School: Business Analytics
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Mar 2018
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? Yes
Location
Camperdown
Faculty: Business (Business School)

Semester 2

30 Jul 2018

Department/School: Business Analytics
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Aug 2018
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? Yes
Location
Camperdown
Courses that offer this unit

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