BSc Physics with Theoretical 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 

* 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