A five-week tutor-led data analysis course taken entirely online. The course introduces you to the use of QED Statistics and R software.
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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.
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.
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.
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.
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 10-week, tutor-led data analysis course taken entirely online. The course introduces students to the use of QED Statistics and R software.
This module will introduce basic questions and concepts in data ethics, as well as more general philosophical questions about the practical ethical issues raised by living in a data centric society.
Learn how to perform several highly useful statistical significance and hypothesis tests in R at this online day school. This includes, but is not limited to, t-tests, A/B, permutation, ANOVA, chi-squared, Fisher's Exact and Shapiro-Wilk tests.