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.
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.
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.
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.
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.
An introduction to programming for data science, with a focus on using Python. This is an in-person course taking place at Rewley House, Oxford.
A five-week tutor-led data analysis course taken entirely online. The course introduces you to the use of QED Statistics and R software.
Equipping you with practical skills in using Python for machine learning tasks. Covering many concepts and hands-on examples, the day delves into various machine learning algorithms, data preprocessing techniques, and model evaluation methods.
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.
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.