INTRODUCTION:
This topic introduces sophisticated methods and tools for harnessing the power of big data in decision-making. It covers advanced statistical techniques, machine learning algorithms, and data visualisation strategies that transform raw data into actionable insights. Participants will learn how to apply these techniques to drive innovation and competitive advantage.
LEARNING OUTCOMES:
- Understand advanced statistical and analytical methodologies.
- Evaluate tools and software for big data analysis.
- Apply data visualisation techniques for insight generation.
- Analyse trends and patterns within large datasets.
- Develop strategies for data-driven decision-making.
- Formulate approaches for continuous data optimisation.
INDICATIVE MODULES:
- Introduction to Advanced Data Analytics
- Statistical and Analytical Methods
- Machine Learning and Predictive Analytics
- Data Visualisation Techniques
- Big Data Technologies and Tools
- Data Mining and Pattern Recognition
- Integration with Business Intelligence
- Ethical and Legal Considerations in Data Analytics
- Case Studies in Data-Driven Decision Making