MPhys Physics

Introduction to Data Science

• To introduce basics of statistical methods and modern day advanced data analysis techniques, as required in all fields working with data.
• To deepen the understanding of how data analysis works for small and large data samples.
• To  obtain a comprehensive set of tools to analyse data.

This course unit detail provides the framework for delivery in 20/21 and may be subject to change due to any additional Covid-19 impact.  Please see Blackboard / course unit related emails for any further updates

On completion successful students will be able to:

• Demonstrate an understanding of the basics of the statistical analysis of data.
• Explain methods of data analysis and their idea.
• Apply a set of analysis techniques as required for basic and advanced datasets.
• Critically assess new results derived from datasets.
• Use the knowledge of statistical data analysis to understand more advanced and new techniques.

• Probabilities and interpretations
• Probability distributions
• Parameter Estimation
• Maximum Likelihood and extended maximum likelihood
• Least Square, chi2, correlations
• Monte Carlo basics
• Probability and confidence level
• Hypothesis testing
• Goodness of fit tests
• Limit setting
• Introduction to Multivariate Analysis Techniques

Feedback is through exercises (via online feedback) and exam.

Barlow, R., Statistics - A Guide to the Use of Statistical Methods in the Physical Sciences, Wiley

Cowan, G., Statistical Data Analysis, Oxford

Behnke, O., et al, Data Analysis in High Energy Physics: A Practical Guide to Statistical Methods, Wiley