Skip to main content
Back to top
Ctrl
+
K
Data Analysis for Physics
Course Introduction
Slides
Jupyter Notebooks and Numerical Python
Handling Data
Homework 01: Numerical python and data handling
Probability Theory
Slides
Probability Theory
Bayes’ Rule
Visualizing Data
Homework 02: Probability Theory
Important Probability Distributions
Slides
Important Probability Distributions
Central Limit Theorem
Homework 03: Important Probability Distributions
Theory of Estimators
Slides
Statistics
Uncertainties on the Mean
Estimating Probability Density from Data
Slides
Estimating Probability Density from Data
Homework 05: Kernel Density Estimation
Statistics and Sources of Uncertainty
Slides
Fitting
Fitting, part 2
Frequentist and Bayesian Methods
Slides
Frequentist and Bayesian Methods
Markov Chain Monte Carlo in Practice
Homework 07: Bayesian Statistics and MCMC
Project 01
Stochastic Processes, Markov Chains & Variational Inference
Slides
Stochastic Processes and Markov-Chain Theory
Variational Inference
Homework 08: Markov Chains
Confidence Intervals and Hypothesis Testing
Slides
Confidence from Data
Problem 1
Fourier methods
Slides
Response, Unfolding & Convolution
Response, Convolution and Unfolding
Slides
Fourier Methods
Unfolding
Time Series
Slides
Time Series Analysis
Homework 12: Time Series Analysis of Projectile Data
Project 02
Monte Carlo and Sampling Methods
Slides
Monte Carlo and Sampling Methods
Assignment 13: Monte Carlo Integration and Sampling Methods
Bias and Blind Analysis
Slides
Bias and Blind Analysis
Machine Learning Methods
Slides
Deep Learning
Index
