ANA201 – Statistical Applications in Data Science

Unit code & Title	ANA201 - Statistical Applications in Data Science
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: Understand the evolution and role of statistical analytics. ULO2: Engage in statistical analysis guided by theoretical methodologies. ULO3: Conduct statistical analysis in a systematic approach. ULO4: Perform fundamental analytical tasks using appropriate tools. ULO5: Critically choose the right tools and methods to investigate and prepare the data for further analysis tasks and decision support. ULO6: Perform feature importance analysis and select feature subset to reduce data complexity and noise. ULO7: Understand the fundamental inferencing techniques and algorithms of statistical analysis. ULO8: Understand the applications, advances, and trends of statistical analysis in the business domain.

Overview

This unit addresses the course learning outcomes and complements other units in a related field by developing students’ specialized knowledge of statistical tools and technologies. This unit is part of the AQF Level 7 course. The purpose is to build upon AIA 1XX (Intro to Stat) and provide students with an overview of the statistical applications in business domains. Students will obtain hands-on experiences in SAS to conduct fundamental analytics practices with an abundant collection of case studies, tutorials, and online discussion activities. Upon finishing this unit, students will be able to critically review the analytics options with the identified needs and problems in the business domain and choose the most applicable ones. They’ll also learn to plan and implement statistical analytics projects in a systematic and strategic approach.

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