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C7081 Statistical analysis for data science
Welcome to C7081. This module is a survey of machine learning and statistical methods including supervised and unsupervised classification, regression, and tree-based methods. There is an emphasis on practical applications using a series of data stories and lab exercises, along with lectures on selected topics and readings. A prerequisite is a basic working knowledge of R programming and introductory statistics.
C7081 Resources
Textbook: James et al. 2023 Introduction to statistical learning for Python
Textbook: James et al. 2021 Introduction to statistical learning for R 2ed
Slack workspace (for enrolled students)
Office hours (Slack, Fridays by appointment)
Harper Adams Data Science
This module is a part of the MSc in Data Science for Global Agriculture, Food, and Environment at Harper Adams University, led by Ed Harris.