This course mirrors real-world practice, guiding students through the complete data science life cycle using real-world case studies and industry-relevant platforms such as Microsoft Azure Machine Learning.

This course provides essential insights into dashboard design, with a focus on practical skills in Tableau and Power BI (Business Intelligence).

Get an understanding of database management essentials with Structured Query Language (SQL). The course emphasises creating and modifying databases, retrieving data from multiple tables with basic and advanced SQL commands, and various functions for text and date searches.

This course examines the digital systems and intelligent tools that enable modern e-procurement and sourcing. Participants will explore how e-procurement platforms support Request For Anything (RFx) automation, contract workflows, supplier onboarding, and data-driven sourcing decisions. The focus is on understanding systems, evaluating use cases, and designing practical sourcing workflows, rather than hands-on system configuration.

The course is a continuation of Fundamentals in Python (Intermediate). It covers more in depth Python’s Object Oriented Programming and some common graph algorithm.

Foundation of Data Science is a practical course which will provide participants with the fundamental knowledge, skills and abilities to extract, transform, analyse and model data.

Roles in data science are in demand regionally and globally. With increasing digital touch-points; whether it is visiting a website, using a mobile application or even visiting your favourite retail shops, data is vastly becoming the fuel for decision making. How do data analysts or scientists do what they do? Can’t tell the difference? Come join us and find out for yourself.

Across the world, and industries, data science is in demand, and is receiving an increasing attention due to its research and application significance. Modern professionals are recognising the need to acquire skills in data science to stay relevant in the increasingly digital economy.

In today’s digital economy, it is crucial for business professionals and leadership teams to be able to use analytics to manage Human Resources. With technological advancements towards a more data driven economy, it is imperative for HR professionals to understand data science and how to use techniques in data science to make sense of people data.

The course introduces learners to basic machine learning steps from data preparation to evaluation of machine learning models.