Certificate of Achievement
has completed the following course:
Machine Learning for Healthcare
This three-week course introduces machine learning for healthcare using R and RStudio. Learners develop practical skills in preparing health data, building and evaluating predictive models, and applying algorithms to real clinical challenges. The course emphasises ethical data handling, bias awareness, and interpreting results to support safe, effective healthcare decision-making and improved patient outcomes.
3 weeks, 3 hours per week
Professor Peter Edwards
Principal and Vice-Chancellor
University of Aberdeen
Transcript
Learning outcomes
- Explain fundamental machine learning principles and algorithms used in healthcare, including supervised, unsupervised, and reinforcement learning, and differentiate these approaches from traditional statistical methods.
- Apply R and RStudio to prepare, manage, and visualise healthcare datasets using reproducible workflows while demonstrating ethical data handling practices.
- Analyse and evaluate machine learning models for healthcare applications by selecting, tuning, and testing algorithms, and assessing performance, bias, and generalisability.
- Interpret and communicate machine learning findings to support healthcare decision-making, considering clinical relevance, ethical implications, and regulatory requirements.
Syllabus
- Machine Learning in Healthcare: Core machine learning concepts, healthcare applications, and differences from traditional statistical approaches.
- R Programming for Health Data: Using R and RStudio for data preparation, visualisation, and reproducible analysis with ethical data handling.
- Healthcare Machine Learning Models: Building, tuning, and evaluating models such as regression and tree-based methods using healthcare datasets.
- Applied ML, Ethics, and Decision Support: Applying models to real clinical problems, interpreting results, and addressing ethical and regulatory considerations.
In association with
Issued on 25th August 2026
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This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.