BMAN60422 : Data Analytics for Business Decision Making
|Teaching period(s)||Semester 2|
The aim of this course is to provide students with an understanding of data analytics for business decision making. It will discuss a wide range of data analytical techniques, including classification, clustering, predictive modelling, text mining, and visual analytics. Emphasis will be placed on the use of an industry-leading software tool, SAS.
|Objectives (Learning outcomes)||
At the end of the course unit, student should be able to:
50% Exam (closed book, 2 hours)
Informal Contact Method
|Course unit overview||
This course covers the fundamentals of data analytics, data management, predictive modelling, pattern discovery, advanced analytics and big data in the context of supporting business decision making.
|Teaching staff||No available data to display.|
Lectures - 20 hours
Practical classes & workshops - 10 hours
Supervised time in studio/wksp - 10 hours
|Teaching and learning methods||No available data to display.|