This course provides the opportunity to you to discover how technological advancements and big data are revolutionising healthcare. As healthcare systems generate vast amounts of data, professionals with the skills to analyse, manage, and interpret this information are in high demand. This course equips you with the knowledge and technical expertise to leverage multi-modal big data for impactful healthcare decision-making.
You will explore the impact of epidemiological data as well as genomic and radiomics data in healthcare advancements. Through a set of structured approaches, you will develop proficiency in data mining techniques, learning how to extract meaningful patterns and actionable insights from large, complex datasets. These skills are essential for improving patient outcomes, optimising healthcare operations, and advancing medical research.
You'll begin in Module 1 learning about advanced data technologies including cloud based and database management systems. We begin by providing an overview of genomics, radiomics and health data. You will then explore how these massive pool of information are managed in medical databases and develop hands-on coding experiences for interrogating relational databases using structured query language.
Throughout Module 2, you'll explore key data mining methods pivotal in healthcare analytics. We'll delve into data mining methods and detail importance of federated analytics, showcasing its role in enhancing data privacy within healthcare systems. You will have experience of fitting and evaluating simple machine based models.
In Module 3, you’ll focus on data visualisation techniques in healthcare analytics. Through hands-on experience, you'll develop and assess the impact of different visualisation methods on healthcare datasets.
By the end of this course, you will have a comprehensive understanding of technological advancements in healthcare, including data management, model deployment, and data visualisation techniques.
