This is an overview of the modules covered in this postgraduate program, as well as projects I will complete during my studies in Data Science.
This module explores the critical theoretical concepts in the discipline of data science, starting from data collection through to data transformation into knowledge to support business decisions. .
Learn moreThis module explores the diversity of different data types, sources, and methods of data collection, as well as the process of Data Wrangling.
Learn moreThis module introduces key aspects of mathematics and statistics for data science and artificial intelligence using R program.
Learn moreThis module is crucial because visualisation is a language-independent platform through which viewers can discover patterns and relationships in the data that help them to communicate business issues more effectively within and outside the organization. .
Learn moreThis module provides a foundation in research methods (essential tools and techniques for research), and it also explores the legal, social, ethical, and professional considerations in computing projects.
Learn moreThis module provides a hands-on introduction to machine learning, starting with core concepts and progressing to practical case studies using real-world data. It covers key machine learning algorithms, model design, and deployment, with a strong focus on data analytics and modern tools for Machine Learning.
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