Overview

The global economy has long entered the 'Age of Analytics' as the exponential growth in the volume of available data has converged with the development of more sophisticated algorithms, advances in computational power and the availability of cloud data storage. As a result, businesses that produce vast amounts of data must now harness that asset as a key source of their ongoing competitive advantage, which in turn is driving a dramatic increase in demand for analytical capability. This course will provide professionals with the skills required to begin a career in this huge growth area, or add analytical capabilities to their existing skill set in order to be more effective in a data driven world.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Apply statistical techniques to solve business problems
  2. Visualise basic data in spreadsheets to inform a hypothesis
  3. Create queries and aggregate results over multiple data sets using SQL
  4. Evaluate and select appropriate data visualisation techniques
  5. Create an interactive dashboard using Tableau to evaluate your hypothesis
  6. Articulate best practice for working with data and highlight ethical considerations

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Online
Directed Online Learning and Independent Learning		5.00 6 weeks 30
TOTAL30

Assessment

Type Task Weighting ULO's
Applied ProjectIndividual 50% 1,2,3,5,6 
Project ReportIndividual 50% 1,4,6 

Content

  • Introduction to Data Analytics
  • Employing business statistics to  interpret data using spreadsheets
  • Analytical and visualization techniques to facilitate hypothesis driven decision making
  • Working with multiple data sets using SQL
  • Visualisation and storytelling for effective communication
  • Ethics and introductory predictive analytics

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.