UE Data analysis, linear models and ANOVA

Degrees incorporating this pedagocial element :

Description

The aim of this course is to present advanced statistics and linear modelling, variance analysis and provide practical implementation

Contents:

  • Principal components analysis (PCA)
  • Clissification (Linear Discr. Analysis)
  • Data mining (text mining)
  • Linear regression
  • Estimation and test of regression parameters
  • ANOVA
  • ANCOVA
  • Practical implementation

This course include practical sessions.

This is a two parts course:

  1. Course mutualized with Ensimag 2A 4MMFDASM (head: Jean-Baptiste Durand)
  2. MSIAM specific course (in-depth and practical session) (head: Clémentine Prieur)

A short description of the course content can be found here