Learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias and data governance. 

This module targets to build specific set of techniques, competencies and practices that can be applied to perform the continuous exploration, and investigation of business data in order to apply outputs to gain more Business value by generating more revenues, increase efficiency, reduce cost and optimize customer experience. 

The course gives an overview of the data, questions, and tools that data analysts and data scientists work with.

This module aims at preparing trainees to many components needed for data analysts, including managerial aspects, statistical analysis, financial and accounting aspects.  The module is structured in a very interactive manner where trainees get to be quizzed and tested on all introduced concepts

This module builds on module 1 and module 2 in building the business sense for trainees, by earning leadership skills.  Trainees will learn how leaders behave in the business environment, how to become leaders, and why is it a great thing to lead and work for great leaders. 

This module builds on the knowledge gained in Module 1 and enhances trainee’s knowledge in managerial aspects relevant to the work of modern data analysis.  The module covers management information system, basics of project management, basics of information and data security and ends with a wrap up about business acumen.