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New in-demand short course coming soon.

Why study the Data Analytics for Business Professionals short course?

Develop impactful data analytics skills to help examine difficult operational problems and devise better strategies for your organisation. 

  • Online study with live sessions 
  • 6 weeks (5-8 hours per week)  
  • Commencing 29 January

Become a data-driven decision-maker.

Develop essential skills in business analytics to gain a powerful advantage in your role with the Data Analytics for Business Professionals short course from Melbourne Business School Online. Become a data-driven decision-maker who can appraise the language of data analysis, measure the relationships between variables, and solve business problems using optimisation models. Avoid making costly mistakes by understanding the process and advantages of data-driven decision-making.

Business professionals overseeing complex systems, processes and resource allocations will benefit from technical data analytics skills to better inform their own choices, but also allow them to work confidently alongside business analytics teams on larger data sets.

This short course uses Excel, general math and statistics, and the art of data storytelling to help create a data-informed business narrative that will help persuade stakeholders.

Who should enrol

Mid-Level Professionals

This course is designed for mid-level managers and professionals from a variety of business sectors who want to leverage data literacy within their role. It is however equally well positioned for business owners, entrepreneurs or professionals in IT and technology industries seeking data-driven insights to improve their organisational outcomes. This course will be helpful for professionals who have access to organisational data sets, and are part of strategic planning, operational management, and commercial forecasting.

The course is designed to help learners develop the skills and knowledge they need to become data-driven decision-makers. It covers a wide range of topics, from understanding the language of data analysis to solving business problems using optimisation models.