Calculus is a 'sine qua non' for studying more advanced mathematics, physics, statistics, machine learning and data science. This course will introduce you to the vocabulary and techniques that open the panorama of science and engineering.
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Accredited courses include undergraduate and postgraduate level courses.
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.
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.
Linear Algebra is fundamental to Geometry, Statistics, Analysis and most topics in Mathematics. From solving linear equations to abstraction, this course develops deeper knowledge with rigorous proofs. This follows on from Linear Algebra: Introduction.
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.
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.
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?
Explore the criminal underworld of cyberspace. Discover how the dark web facilitates illegal hacking and how ransomware is disrupting our societies, and learn how governments are fighting back.
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.
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.
Gain insight into programming tools for machine learning and artificial intelligence using Python. Learn how to build a machine learning pipeline, comprising exploratory data analysis, data preparation, model training and evaluation.
A flexible online statistics course for busy health and social care professionals who need to understand the basics of health statistics without becoming statisticians.