Learn about Artificial intelligence (AI), machine learning (ML), predictive analytics (PA), and how they differ from other related concepts.

This course will provide learners to plan and drive medium-scale projects or programmes, including allocating resources to different parts, and engaging stakeholders on the project's progress and outcomes, using domain knowledge followed in respective industries.

The programme will provide an overview of the actual design and specification of applicable security components, along with the incidental control measures, to meet defined business security needs.

By taking this course, students gain the knowledge and practical insights into the workings of the data science and business analytics industry.

The Data Analytics for Decision Makers course aims to equip learners with the knowledge and skills in data preparation and extraction, transformation, and loading (ETL) data from different sources and combine them into a single dataset. Learners will be equipped to perform data analytics workflows, interpret graphs and charts, apply time-series analytics, use text mining analytics, review image analytics, and familiarize themselves with the major types of analytics.