Be an Effective Communicator using Data

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Contact information

For further information or to request a quotation, please contact the Professional Education Courses Unit on:

Enquiries Phone: 02 5114 5573

Enquiries Email: ProfEdCourses@adfa.edu.au

In-house delivery

UNSW Canberra Professional Education Courses may be available for in-house delivery at your organisation's premises. In-house courses allow maximum attendance without the additional travel costs. Courses can be developed to suit the specific staff development and training needs of your organisation. Recommended for groups of 10 or more.

Presenting data to senior decision-makers, management boards, and stakeholders is typically a daunting task, as it requires both expertise in handling large amount of information as well as highly developed communication skills to summarise and show effectively key analytical results. This short course trains you in becoming an effective communicator by making use of data to summarise, present or reinforce results and conclusions arising from the data at hand. The course does not require any prior expertise, as it will cover the ground up from basic principles in organising and displaying information as well as examples of effective communication in a variety of settings. The course covers key techniques used in producing various types of graphs to summarise information and display basic relationships between variables of interest. The course is highly applied and relevant work examples are used.

  1. 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, table and figures/charts.
  2. 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. Both approaches of developing a story from data, and using data to communicate effectively the content of a story are reviewed.
  3. 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.
  4. 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.

Reviews

'Highlighting on how we can use raw data which are very complex and doesn't provide any clean understanding, to something that is meaningful, simple and easy to understand'. 09 Aug 2019

'The presenter was engaging and knew his topic well.  He also tried to relate the examples to the work that participants were doing.  I got a lot out of this course'. 09 Aug 2019

 

Presenter

Massimiliano Tani

Massimiliano Tani

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

Max is a member of the Public Service Research Group (PSRG), within the School of Business UNSW Canberra.  Max 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 Max had a previous life in investment banking in the UK for a decade.

 

Course Information

DAY ONE:
Morning Basic data handling
Afternoon From data to story and from story to data
Review of examples and discussion.

 

DAY TWO:
Morning Advanced data analysis
Afternoon Communicate effectively with data
Review of examples and discussion.

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.