Program Overview

Introduction to the University Program

The university program is designed to equip students with the necessary skills and knowledge to succeed in their chosen field. The program is structured to provide students with a comprehensive understanding of the subject matter, as well as practical experience and hands-on training.

Program Details

Year

2023

Credit Points

10

Campus Offering

No unit offerings are currently available for this unit.

Prerequisites

ITEC617 Modern Database Management

Unit Rationale, Description, and Aim

The explosion in data and digital technologies has opened new ways of obtaining data-driven insights. To take advantage of these opportunities, organisations need people with the ability to extract, consolidate, analyse, and visualise data from very large diverse data sets.

Learning Outcomes

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

• Recognise business value and various tools and techniques for data analytics & visualisation, and their applications
• Apply tools for the collection, cleaning, merging, and transformation of data
• Apply data analytics and visualisation tools and techniques to derive useful insights from raw data
• Evaluate the information needs of organisations and design data analytics and visualisation solutions to support business goals, the environment, and society

Graduate Attributes

• GA2: Recognise their responsibility to the common good, the environment, and society
• GA5: Demonstrate values, knowledge, skills, and attitudes appropriate to the discipline and/or profession
• GA8: Locate, organise, analyse, synthesise, and evaluate information
• GA10: Utilise information and communication and other relevant technologies effectively

Content

Topics will include:

• Descriptive Analytics
• Predictive Analytics
• Principles and Best Practices in Data visualisation
• Tools for Data Analytics and Visualisation
• Microsoft Power Platform
• Capturing data with Power Apps and Power Automate
• Cleaning and transforming data
• Connecting and merging multiple data sources
• Types of Charts and Graphs
• Data visualisation with Power BI
• Visualising geodata
• Communicating data analysis and visualisation results
• Social and environmental applications of Data Analytics and Visualisation
• Real-world Applications of Data Analytics and Visualisation

Learning and Teaching Strategy and Rationale

This unit is offered in different modes to cater to the learning needs and preferences of a range of participants and maximise effective participation for isolated and/or marginalised groups.

Assessment Strategy and Rationale

To pass this unit, students are required to achieve an aggregate mark of at least 50%. Marking will be in accordance with a rubric specifically developed to measure the level of achievement of the learning outcomes for each item of assessment.

Overview of Assessments

• Assessment 1: Preparatory Exercises: This assessment consists of a series of exercises, including data analytics and visualisation using the Microsoft PowerBI, Power Apps, Power Autmate, and Power Virtual Agents.
• Assessment Task 2: Certification Exam: This assessment task requires students to undertake PL-900: Microsoft Power Platform Fundamental Certification Exam.
• Assessment Task 3: Data Analytics and Visualisation Case Study: In this assignment, students will evaluate the information needs of a given case study and produce a proposal for design and implementation of a data analytics and visualisation project.

Representative Texts and References

• Albright, SC & Winston, WL 2020, Business analytics: data analysis and decision making, 7th edn, Cengage Learning Inc.
• Microsoft Power Platform Fundamentals
• Mitchell Pearson, Brian Knight, Devin Knight, Manuel Quintana, 2020, Pro Microsoft Power Platform: Solution Building for the Citizen Developer, O'Reilly Media, Inc, USA.