ANA103 – Data Analytics Fundamentals

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Unit code & Title	ANA103 - Data 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: Demonstrate background knowledge in data analytics techniques, processes and framework and incorporate it with principles and strategies of the business environment. ULO2: Understand the scope and limitations of the methods and tools, how the four types of data analytics facilitate the decision-making processes and the appropriate solutions. ULO3: Introduce the analytics life cycle and the fundamental analytics concepts, methods, and tools. ULO4: Apply analytical thinking on business needs assessment and analytical problem framing. ULO5: Apply data manipulation techniques on examining and ensuring data quality, tackling data corruption and ethical issues. ULO6: Leverage descriptive and inferential analytics skills on exploring and analysing historical data to reveal insights, trends, patterns, and associations in data. ULO7: Enhance effective interpersonal and communication skills with analytical thinking and data visualization techniques.

Overview

This unit provides an overview of the concepts, processes, life cycle, and functions of data analytics as an enabler of decision-making in business settings. It is designed to prepare students without a programming background to investigate, identify, and tackle workplace problems using data-centric problem-solving skills. Descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics are introduced in alignment with the data analytics process, from data collection and evaluation to knowledge and insight generation. Upon completion of this unit, students will have a comprehensive understanding of how data analytics enhances the business intelligence capabilities of organizations and will be able to apply practical hands-on skills to address business problems with appropriate analytical solutions. The unit also emphasizes effective communication with non-technical audiences by introducing the principles and techniques of data visualization.

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.

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Important Dates

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