This lecture intended as a guide to practical application of statistics with a focus on relevant topics in analysis of high energy physics data. Each session consists of a classical lecture part followed by a hands-on training using python. Experience in programming is advantageous but not mandatorily required.
Lecture 1: Statistical Distributions
Lecture 2: Confidence intervals, Hypothesis testing
Lecture 3: Parameter estimation
This lecture is part of a larger series covering various real-lab topics: