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

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