Studying online
There are now 2 possible online modes for units:
Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.
Click on an offering mode for more details.
Unit Overview
- Description
Business leaders equipped with the analytical skills needed to extract meaning from complex data sets, and translate this meaning into actionable insights, are highly sought after in the global workplace. To inform strategic decisions, and remain competitive, businesses must leverage the insights contained in the large volumes of data produced both within the business and in the broader business environment. One of the benefits of data analytics is the ability to collate and fuse multiple streams of secondary data, many passively collected, in order to better understand business processes, customer demands, relationships between multiple agents.
This foundation unit provides the fundamental skills needed to progress in data analytics. Students are able to identify business opportunities where quantitative analysis is beneficial, gain practical experience in the use of different sophisticated analytical tools and techniques (such as R, Python, STATA, SAS, Tableau), identify appropriate analytical methods (such as predictive modelling, simulation, optimisation, clustering and pattern recognition) for business situations, communicate analytical findings in a non-technical way, and translate these findings into business actions.
Topics include data integrity, data visualisation, predictive modelling, classification (logistic regression, ANN, random forest), clustering (k-means), forecasting, discrete event and generic simulation, and optimisation.
- Credit
- 6 points
- Offering
(see Timetable) Availability Location Mode Semester 1 UWA (Perth) Face to face Semester 2 UWA (Perth) Face to face - Outcomes
Students are able to (1) analyse situations and opportunities where complex quantitative analysis will contribute to business innovations and decisions; (2) identify appropriate analytical approaches to enhance business operations and opportunities in the broad areas of accounting and finance, economics, marketing, and management; (3) analyse large and complex data sets using sophisticated analytical tools and techniques; (4) communicate complex analytical ideas and findings in a meaningful and easily understood way for a broad business audience; and (5) integrate business analytics into multiple levels of decision making (strategic, tactical, operational).
- Assessment
Indicative assessments in this unit are as follows: (1) quizzes; (2) assignment 1; and (3) assignment 2. Further information is available in the unit outline.
Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.
- Unit Coordinator(s)
- Apphia Jin (S1); Dr Farhad Mohammad & Apphia Jin (S2)
- Contact hours
- Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
- Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Online flexible
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
Online timetabled
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Online Restricted
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
External
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Off-campus
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multi-mode
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.