Data analysis and statistical methods

These lectures are part of the training offer of the PhD course in Science of Matter and Nanomaterials in University of Roma Tre.

The course is structured in theoretical lessons and lessons with practical examples using Python.

The syllabus of the course is available here.

The lecture calendar is available here.

The course material will be uploaded below before each lesson.

Frontal lecture slides:

- Intro of the course. slides
- Lecture 1: Probability, Bayes theorem, random variables, probability density functions, expectation values, correlation and pdf transformations. slides

Python Notebooks:

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