Introduction to Data Management
This module covers the concepts of data management from data governance to data architecture, data modelling and data access. It aims to equip students with knowledge and skills to manage variety of data sources from data in local database to large volume data in big data cloud storage. Students will learn to interpret relational and non-relational data models and manage data in structured database and big data architecture.
This module introduces the concepts, tools and techniques of data wrangling. Through building an automated data wrangling pipeline, data from diverse sources are collected, explored, cleansed, enriched and optimized and ready for the downstream visualization and analytics process.
Data Visualisation for Business Decisions
This module aims to equip students with the knowledge and skills to analyze and visualise data for more informed and timely business decision making. Students will be trained to conduct data analysis, interpret results, apply visualization techniques, design data stories, create dashboards to support data-driven business decisions.
Data Visualisation for Enhanced Business Insights
This module aims to equip students with advanced knowledge and skills to address more complex visualization and analytics scenarios. Students will be exposed to a comprehensive set of tools and libraries to create static and interactive visualizations to support data-driven business decision making.