Statistics Methods for Big Data

This course introduces students to different methods for analysing high-dimensional data. I was in charge of the cours and pratical work. We studied :

• Introduction
  • Problems of classical statistical methods
  • Methods of high-dimensional analysis
  • Big Data: high dimensional data
• Descriptive methods
  • Dimension reduction
  • Factor analysis (pca, mca, afdm)
  • Clustering
• Predictive methods
  • High dimensional regression
  • Classification methods
• Modern high-dimensional statistical tools
  • Spark and Hadoop
  • Spark in R or Python
• Practical work