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.
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Accredited courses include undergraduate and postgraduate level courses.
This course will introduce statistics to at a beginner-level, covering measures of central tendency, dispersion, probability theory and inferential statistics.
Explore how data shapes our world in this hands-on introduction to data science. Learn how AI is transforming society, from neural networks to health discovery. No coding or maths required. Ideal for professionals, lifelong learners, and enthusiasts.
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 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.
A residential short course on machine learning of wearables datasets, connecting post-graduate and post-doctoral researchers from academia and industry with experts at Oxford's Big Data Institute and Nuffield Department of Population Health.
Machine Learning methods lie at the heart of the Artificial Intelligence revolution. This course introduces fundamental concepts to explain Machine Learning methods, potential, and pitfalls to a general audience.
Understanding the impact of Artificial Intelligence, is a key skill in the knowledge economy. This online course develops a critical understanding of real-world AI applications by introducing various case studies to a general audience.
Artificial intelligence is everywhere we look. But what do we mean by 'intelligent'? Do machines 'think'? Does AI have the potential of becoming self-aware or conscious? Do we need to fear the singularity? Can we align AI with our human values and ethics?