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Based on Harvard's famed introductory course in computer science, CS50 is now available at Oxford. This course teaches you how to solve problems, both with and without code, with an emphasis on correctness, design, and style.
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.
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.
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.
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.
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.