Overview
There has been an explosion in the quantity and variety of data collected and routinely analysed by government, business and society at large over recent years. This has been described by some social commentators as the rise of "big data" and and the analysts and practitioners who investigate this data … For more content click the Read More button below.
Offerings
S1-01-CLAYTON-ON-CAMPUS
S1-01-MALAYSIA-ON-CAMPUS
S2-01-CLAYTON-ON-CAMPUS
Requisites
Prohibition
Prerequisite
Contacts
Chief Examiner(s)
Dr John Betts
Unit Coordinator(s)
Dr Bisan Alsalibi
Learning outcomes
On successful completion of this unit, you should be able to:
1.
Demonstrate the ability to transform real world problems into ones that can then be solved using data analytics techniques;
2.
Cleanse and prepare data for analysis;
3.
Analyse large data sets using a range of statistical, graphical and machine-learning techniques;
4.
Validate and critically assess the results of analysis;
5.
Interpret the results of analysis and communicate these to a broad audience.
Teaching approach
Peer assisted learning
Assessment
1 - Assignment 1
2 - Assignment 2
3 - Quiz and practical activity
4 - Assignment 3
Scheduled and non-scheduled teaching activities
Applied sessions
Seminars
Workload requirements
Workload
Learning resources
Recommended resources
Technology resources
Availability in areas of study
Advanced computer science
Business information systems
Computational science
Data science
IT for business
Business information systems
Computational science
Data science
IT for business