IN5148: Statistics and Data Science with Applications in Engineering

Alan R. Vazquez

Tecnologico de Monterrey

Course topics

A. Introduction to Data Science and Python

  1. Introduction to Data Science (slides)
  2. Introduction to Python and Pandas (slides) (colab)
  3. Data Types and Visualization (slides) (colab)
  4. Preprocessing (slides) (colab)

B. Unsupervised Learning

  1. Clustering Methods (slides) (colab)
  2. Principal Component Analysis (slides) (colab)

C. Supervised Learning for Regression

  1. Supervised Learning and Linear Regression (slides) (colab) (colab)
  2. Model Inference and Evaluation (slides) (colab)
  3. Additional Topics (slides) (colab)

D. Supervised Learning for Classification

  1. Decision trees for classification (slides) (colab)
  2. Ensemble methods (slides) (colab)

About the author

Alan R. Vazquez (website) is an assistant professor in the Department of Industrial Engineering at Tecnologico de Monterrey, Monterrey campus.

License

IN5148: Statistics and Data Science with Applications in Engineering © 2026 by Alan R. Vazquez is licensed under CC BY-NC-SA 4.0