This module will introduce basic questions and concepts in data ethics, as well as more general philosophical questions about the practical ethical issues raised by living in a data centric society.
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Learn how to perform several highly useful statistical significance and hypothesis tests in R at this online day school. This includes, but is not limited to, t-tests, A/B, permutation, ANOVA, chi-squared, Fisher's Exact and Shapiro-Wilk tests.
As AI systems increasingly shape decisions in healthcare, education, law, employment and everyday life, this event examines how ethical theories can address real‑world issues such as fairness, autonomy, moral agency and the societal impacts of automation
The tools of calculus are used to understand the universe making it essential for all mathematical modelling. This course introduces the idea of multi-variable functions through partial differentiation and PDEs. Follows from OUDCE's 'Beginning Calculus'.
Gain insight into advanced data science programming tools, using the Python programming language, to extract features from data, assess the statistical significance of the results found, and scale up the computational capability for big data challenges.
Infectious disease modelling utilises data and our understanding of disease biology to provide public health insights. Aimed at a general audience, this course will cover methods for modelling disease transmission in statistical programming language R.
Linear algebra and its matrices appear throughout the sciences and in the mathematical parts of the social sciences. This basic course is a prerequisite to understanding advanced mathematics and myriad closely and distantly related quantitative fields.
Gain insight into the most important programming tools using the Python programming language, for obtaining data, bringing it into a usable form, exploring and modelling it, and for presenting discoveries to a wider audience.
Learn about R programming with this online course. At an introductory level, this course provides you with a solid foundation of the R programming language. Here you will learn the basics of R and gradually move to data processing and manipulation.
This course will introduce statistics to at a beginner-level, covering measures of central tendency, dispersion, probability theory and inferential statistics.
Aimed at a general audience, including professionals and those with no prior knowledge, this course provides an essential introduction to the key topics underpinning Artificial Intelligence.
Master statistical computing for healthcare research. This 8-week online course teaches R programming, simulation, bootstrap, optimisation, and machine learning to tackle complex analytical challenges with confidence.