Data Visualisation and Storytelling


Wanting to get into the business and data analytics field? Or are you finding your current role is increasingly having to rely upon data analysis to perform your role? Keep up and upskill with our Data Visualisation and Storytelling course which is designed to provide you with a learning pathway to switch careers or gain new data skills beneficial for professionals across all sectors. For example, maybe you are a marketer assessing large volumes of campaign data, or a policy or healthcare professional assessing the efficacy of different policy approaches.

Develop your skills

You will gain the confidence to focus on more advanced business problem solving through data analysis, visualisation and business communication. Working with market leading BI platform Tableau to create interactive visualisations for key business functions and combine visualisations to create operational dashboards that will support you to drive business insights and decisions. The final project will introduce you to predictive modelling to forecast operational information in order to make recommendations against defined business priorities.

After this course you will be able to:

  • Critically evaluate strategic priorities to support the implementation of dashboards and increase the level of data-driven decision making in an organisation.
  • Perform diagnostic analysis to create and interpret prescriptive models to influence future organisational requirements.
  • Evidence the capability to make data-driven decisions.
  • Recognise and address the ethical and social issues of applying data analytics techniques in specific organisational contexts

Modules

Week 1: Introduction to visualising data

  • Data design fundamentals
  • Designing charts
  • Visualising complex relationships

Week 2: Data visualisation in Tableau

  • Getting started with Tableau
  • Creating charts in Tableau
  • Interactive visualisations

Week 3: Designing dashboards

  • Dashboards and business metrics
  • Dashboard design
  • Creating dashboards in Tableau

Week 4: Data communication and storytelling with Tableau

  • Accessible dashboards
  • Communicating insights
  • Supporting dashboard adoption

Week 5: Introduction to predictive analytics

  • Predictive analytics
  • Modelling and inferential statistics
  • Predictive models and forecasting

Week 6: Working as a high-performing data analyst

  • Ethics and analytics
  • New ways of working for data analysts
  • Next steps

Course assessments

Title: Predictive modelling operational dashboard
Submission: Tableau workbook (.TWBX) and PDF submission. Equivalent of 1500 words

Entry requirements

Recognised Bachelor's degree or higher; or relevant informal or non-formal learning and/or professional experiences subject to the approval of the Academic Chair after application.

Availability

Only available to students who are an Australian citizen or permanent resident, a New Zealand citizen or who hold a permanent Australian humanitarian visa.

English language requirements

You must meet a minimum standard in English to study at Murdoch, which can be demonstrated through either English proficiency tests, university preparation courses, English language courses, previous tertiary study or vocational education or equivalent of an Academic IELTS overall score of 6.0 with no band less than 6.0.

Your future career

Completing this course will enable you for data analytics specific jobs, as well as support skill development relevant to a wide range of professional career pathways you may be considering.

Data analytics roles

  • Business analyst
  • Data analyst

Sector specific examples

  • Marketing data analyst
  • Financial data analyst
  • Policy data analyst

Pathway opportunities

  • Data scientist
  • Data engineer