BUSN5002 Fundamentals of Business Analytics

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Semester 2UWA (Perth)Face to face
Content
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.
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) seminar activities/class participation; (2) assignments; and (3) examinations. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Dr Nishant Agarwal
Unit rules
Prerequisites:
Enrollment in 42270 Graduate Certificate in Business Analytics
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.
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  • Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.