The world is changing faster than we ever possibly imagined. Experts believe that half of today’s jobs will be redundant by 2030. The Institute for the Future has forecast that 85 per cent of the jobs that will exist then have not been invented yet.
Data is reshaping the workforce. Demand for data scientists has increased six-fold in the last five years whilst the demand for machine learning engineers has increased ten-fold.
Data skills can become obsolete in a matter of months. The workforce of the future will need leaders that know how to utilise effective data management, innovation and upskilling for their organisation.
The Data for Directors program will be taught by Professor Simon Jackman, a world leading expert in data analytics, and author of Bayesian Analysis for the Social Sciences.
Professor Jackman brings a wealth of experience to the program, ranging from his tenure as a professor of statistics at Stanford University, a data consultant at the US headquarters of Facebook, and his current role as CEO at the United States Studies Centre at the University of Sydney.
Module 1: Introduction to data analysis
Module 2: How to make use of unconventional sources of data: text, tweets and media
Module 3: Privacy in a data-driven society / Data policy and law
Module 4: How data transforms businesses: data visualisation, machine learning, predictive modelling and neural networks
The Data for Directors program is the first of its kind in Australia to combine the principles of executive learning and data science at a senior-management level.
In an era where the competition between the world’s top companies will be focused on securing talented data employees, this course will enable you to speak the language of data experts and make the most of their skills so that you can stay ahead of the pack.
The first Data for Directors program will run in 2019. If you're interested in attending, or would like us to deliver the program to your organisation, please fill in this form and we'll contact you with further information.