Welcome on the Data Science Webpage
by Marek Kowalski, Mickael Rigault, Jakob Nordin
Course content
In this course you will learn about stastical methods used in data analysis. It will provide a theoretical foundation and introduce and practice python tools. The course will cover:
- Characterising Distributions
- Standard Theoretical Distributions
- Errors
- Estimation
- Maximum Likelihood
- Least Square
- Hypothesis testing
- Probability and Confidence Levels
- Nuisance Parameters & Numerical Minimization
- Monte Carlo Methods
The latest classes are here.
The directory hosting the class document is here.
Time and location:
- Exercises: 12h20-13h05 room 2.201 (or 2.202)
- Lecture: 13h20-14h50 room 2.201 (or 2.202)