Topics in Statistics - Presentation

Marie-Pierre Etienne

https://marieetienne.github.io/TopicsInStatistics/

2024-07-24

Courses Objective

• Reactivate Basic Linear algebra useful in data Science

• Provide basic Data Science tools for representing and analyzing gentle multivariate quantitative Dataset

• Implementing simple R and Python Data analysis

Organization

• Lecture 1: Linear algebra Survival Kit

• Lecture 2: Principal Component Analysis

• Lecture 3: Regression

• Lab1: Principal Component analysis with R

• Lab2: Regression with Python

Planning

• Friday, September 6 - Lecture 1 and 2
• Monday, September 9 - Lecture 2 and lab 1
• Thursday, September 12 - Lecture 3
  
• Friday, September 6 - Lab 2

Material

• Lecture and lab material are available on the course website

• The corresponding Github repository is available from the website by clicking on the Github icon