ANA403 – Business Analytics Fundamentals

Unit code & Title	ANA403 – Business Analytics Fundamentals
Pre-requisite	Not Applicable
Delivery modes	On-campus; Online;
Credit points	10
Study commitment	Average of 150 hours of teaching, learning and assessment over the trimester.
Scheduled learning (On-campus)	2 × 3 hours on-campus seminar and tutorial weekly (for block mode)
Scheduled learning (AIA Online)	Recorded contents + 2 × 3 hour online seminar and tutorial weekly
Learning Outcomes	ULO1 Evaluate the various sources of business data, both internal and external, and apply SAS tools for effectively collecting and managing data. ULO2 Employ SAS techniques for data cleaning and preprocessing methods to manage large and complex datasets, ensuring data integrity and accuracy for subsequent analysis. ULO3 Utilise SAS procedures to perform descriptive statistical analysis, identify trends, patterns, and key insights that inform decision-making in business environments. ULO4 Create data visualisations using SAS to effectively communicate insights and support business decision-making for diverse audiences, including non-technical stakeholders. ULO5 Synthesise data-driven insights into actionable business strategies by applying business analytics techniques and enhance business decision-making in real-world scenarios. ULO6 Develop teamwork and collaboration skills through group projects and activities focused on solving real-world business problems using SAS-based analytics solutions. ULO7 Analyse and evaluate the ethical considerations in business analytics, including issues related to data privacy, and responsible data usage.

Overview

In today’s data-driven world, the proliferation and ubiquity of data present both opportunities and challenges for businesses.

This unit introduces students to the core principles, techniques, and technologies in business analytics, focusing on SAS as the primary tool to enable organisations to harness data and create business value.

The unit covers the entire process from data collection, cleaning, and processing to the analysis of data using descriptive statistics and data visualization techniques, all within the SAS environment.

Students will gain hands-on experience using SAS Studio to analyse and present data, supporting data-driven decision-making in real-world business scenarios.

Additionally, the unit emphasizes the importance of collaboration in business analytics by incorporating group activities and assessments that foster teamwork and communication skills.

The unit is aligned with the following course learning outcome (CLO):

• CLO1: Demonstrate a deep understanding of fundamental concepts and principles of business analytics, including data analysis techniques, modelling, and interpretation.
• CLO4: Demonstrate ethical awareness and understanding of privacy issues in business analytics and apply ethical frameworks to decision-making processes.

Unit Fee Information

Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.

Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.

For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit Current student page

Important Dates

Refer to Academic Calendar