Basic Methods of Data Analysis

This repository contains the lecture notes of the lecture Basic Methods of Data Analysis presented at JKU in the winter term 21/22.

📄 Lecture Notes (PDF)

Contents:

1. Linear Algebra:
   • Inner / outer product
   • Matrix-vector multiplication
   • Matrix-matrix multiplication:
     • Inner / outer product view
   • Orthogonal matrices
   • Eigenvalues and eigenvectors
   • Definiteness
   • Symmetric matrices
2. Singular Value Decomposition
3. Univariate and Bivariate Data
   • Summary statistics
   • Correlation
   • Linear regression
4. Principal Component Analysis
5. Multiple Linear Regression
6. Probability Theory