Early Bird: Save 10% when you enrol before 30th April.

Early Bird: Save 10% when you enrol before 30th April.

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Register now for our

Data Analytics Webinar Series

In collaboration with SAS

Data Science has been listed as one of the world’s top jobs for several years, and with demand with data skills consistently outstripping supply, a knowledge of data analytics could see you on your way to becoming a valued decision-maker in your organization.


We’ll be hosting a series of two webinars, on Innovation in Data Analytics and Ethics in Data Analytics, taking place on the 1st and 3rd of December respectively. You can sign up to attend one or both of these sessions using the form on this page.

Please note: these webinars have taken place. However, you can still sign up and we will send you a recording of the session.

Innovation in Data Analytics

Data Science, Machine learning and Artificial Intelligence are some fields that have captured everyone's attention in recent years.

Even though the field is progressing at such a rapid rate, more than 80% of its potential is still to be uncovered. Do you want to find out some innovative projects companies are working with, and learn more about some innovative AI-based platforms? If so, join us for this session on the latest inventions and innovations in the field of Data Science.

Ethics in Data Analytics

The current market is data-driven, everything around you such as online platforms, shopping websites, mobile phone notifications are influenced by data. Data Scientists and Analysts work on that data to have a very high impact on society. This raises various ethical concerns on how to effectively manage results, and handle the analysis process to ensure compliance with ethical standards.

In this webinar, we will answer several questions such as:

  • What role do ethical values like fairness, justice, beneficence, and non-maleficence play in our professional lives?

  • What role does our competence in the field play in our professional responsibility?

We shall argue that while data science has its roots in statistics, the impacts now extend far beyond just numbers.