MPhys Physics with Theoretical Physics / Course details

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.

On completion successful students will be able to: 

• Define 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 

• Assess new results derived from datasets, conclude on validity of the hypotheses

• Build on the knowledge of statistical data analysis to study more advanced and new techniques

1. Probabilities and interpretations 
2. Probability distributions 
3. Parameter estimation 
4. Maximum likelihood
5. Least square, chi2, correlations 
6. Monte Carlo basics 
7. Goodness of fit tests
8. Hypothesis testing
9. Probability and confidence level 
10. Limit setting 
11. Introduction to multivariate analysis techniques 

* Other = Online quizzes.

Feedback is through exercises (via online feedback) and the 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