Data analysis is a stransversal topic across algorithmics, statistics, and optimization. It relies on high-level languages such as Python or R for data handling and processing. This introductory course will consider both theoretical and practical aspects of data analysis.

References:

  • Hastie, Tibshirani, Friedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.). Springer, 2017.
  • Scott and Stain: Multi-dimensional Density Estimation. In Handbook of Statistics, Volume 23 (Data Mining and Computational Statistics), 2004.