Be an Effective Communicator using Data
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.
- 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.
- 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.
- 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.
- 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.
Who Should Attend:
Anyone who aims at becoming a better communicator and influencer using data and information.
|Morning||Basic data handling|
|Afternoon||From data to story and from story to data|
|Review of examples and discussion.|
|Morning||Advanced data analysis|
|Afternoon||Communicate effectively with data|
|Review of examples and discussion.|
What you will receive:
- Certificate of attendance
- morning tea, lunch and afternoon tea
- comprehensive course notes
The best features of this course were:
'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
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About the Presenter:
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.