ICT Business Analytics and Data Visualisation

Unit code: NIT3171 | Study level: Undergraduate
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Footscray Park
Online Real Time
VU Brisbane
VU Sydney
NIT2202 - Big Data; or
NIT2103 - Cloud Computing; or
BAO2001 - Corporate Finance; and
NIT2171 - Introduction to ICT Management; or
NIT2271 - ICT Change Management
(Or equivalent to be determined by unit coordinator)
Overview
Enquire

Overview

As the use of big data becomes increasingly important to businesses, it is essential to analyse the data and provide meaningful views and knowledge to support judgments and action plans. This unit provides students with advanced analytical methodologies and data mining models for ICT business analytics, as well as contemporary techniques to visualise the data to support decision. The content includes data preparation, association rule analysis, classification, clustering, regression, anomaly detection, building analytic models using SQL and data visualisation.

Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Evaluate the various ICT business analytic tools and techniques;
  2. Review in more depth the current algorithms, methodologies and modelling for ICT business analytics;
  3. Tabulate various ICT business analytic tools and techniques; and
  4. Propose business analytics techniques and tools to provide solutions to practical problems identified in an ICT business individually and as a team.

Assessment

For Melbourne campuses

Assessment type: Test
|
Grade: 10%
Introductory concepts of business analytics techniques and agile methodologies
Assessment type: Project
|
Grade: 35%
Business Analytics Solution Development (Group)
Assessment type: Case Study
|
Grade: 35%
Case Study on data analytics and result visualisation (Individual)
Assessment type: Exercise
|
Grade: 20%
Solving Scenario-based Business Analytics problems using various data analytic and visualisation techniques

Required reading

A list of recommended textbooks will be made available on VU Collaborate.

As part of a course

This unit is studied as part of the following course(s):

Search for units, majors & minors