Be an effective communicator using data

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Standard price



2 days

Delivery mode

In-Person, On-Campus



  • Accelerate your career, learn new skills, and expand your knowledge.

  • First in Australia for research excellence and impact.

  • Top 50 in the world. 2020 QS World University Rankings.


Typically, presenting data to senior decision-makers, management boards, and stakeholders proves daunting because it demands expertise in handling a large amount of information and highly developed communication skills to summarise and effectively demonstrate key analytical results. This short course will train you to become an effective communicator by utilising data to summarise, present, or reinforce results and conclusions derived from the available data.

This course does not require any prior expertise since it covers the basic principles of organising and displaying information, along with providing examples of effective communication in a variety of settings. It encompasses key techniques used to produce various types of graphs that summarise information and display basic relationships between variables of interest.

We adopt a highly applied approach and employ relevant work examples to enhance your understanding. By the end of this course, you will possess the necessary skills to confidently present data, ensuring that your communication is clear, concise, and impactful.

Course content

  • Basic data handling: This module outlines introductory skills in data including data type, acquiring/sourcing/finding data fit for a purpose, fundamentals of data organisation in graphs and tables, and foundational statistics. The goal of this module is to introduce participants to essential data literacy concepts, be able to find relevant data or suitable alternatives, read data using basic descriptive statistics (mean, range, median, mode, etc.) and present the data in a way conducive to storytelling using basic summary statistics, tables and figures/charts.
  • From data to story and from story to data: This module focuses on preparing, or ‘cleaning’, data for analysis, and introduces fundamental strategies for identifying and visualising relevant data. Learners will filter, group and aggregate data, describe relevant data for the purpose of analysis, apply descriptive statistics (mean, median, mode, variance, standard deviation) to tables and charts (bar, line, histogram, scatter plot) to improve the key message to be communicated. The approaches of developing a story from data and using data to effectively communicate the story's content are reviewed.
  • Advanced data analysis: This module focuses on data analysis including key statistical tests, correlation and linear regression and t-tests to visualise correlational and causal data relationships. Please note that we'll cover the intuition behind those techniques and highlight when and why one may use them. This course does not require any prior knowledge of maths or stats.
  • Communicate effectively with data: This module focuses on using a variety of techniques to visualise data to generate and communicate insights for decision-making. It will also present examples of effective narrative using data analysis.

Learning outcomes

Skills/competencies/knowledge that would be gained through this course:
  • Certificate of attendance.
  • Morning tea, lunch and afternoon tea.
  • Comprehensive course notes.

Who should attend

Anyone who wants to be a better communicator and influencer using data and information.




Professor Massimiliano Tani

Professor Massimiliano (Max) Tani teaches graduate level Finance at UNSW Canberra. Prof. Tani carries out applied research with an economic angle and business/policy implications, mostly related to individual decision-making.

Prof. Tani is a member of the Public Service Research Group within the School of Business at UNSW Canberra. Prof. Tani has a PhD in Economics from the Australian National University (Canberra, Australia), a MSc Econ. from the LSE and Laurea from Bocconi University (Milan, Italy). Before moving to Australia in 1999,  Prof. Tani had a previous life in investment banking in the UK for a decade.

Cancellation policy

Courses will be held subject to sufficient registrations. UNSW Canberra reserves the right to cancel a course up to five working days prior to commencement of the course. If a course is cancelled, you will have the opportunity to transfer your registration or be issued a full refund. If registrant cancels within 10 days of course commencement, a 50% registration fee will apply. UNSW Canberra is a registered ACT provider under ESOS Act 2000-CRICOS provider Code 00098G.