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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.
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.
A one-year part-time course for those wishing to develop their understanding of modern systems analysis, development and management. Delivered entirely online, the course is taught at third-year undergraduate level.
Explore your passion. Expand your horizons. Create your own unique Oxford University programme with the part-time and flexible Undergraduate Certificate of Higher Education.
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.
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.
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.
