IN2004B Generation of Value with Data Analytics

Materials for Semester AD 2025

Alan R. Vazquez

Tecnologico de Monterrey

Course topics

Module 1

1. Indicators (slides)
2. Selection of Indicators (slides)

Module 2

1. Introduction to Data Science (slides)
2. Introduction to Python and pandas (slides) (colab)
3. Data wrangling and visualization (slides) (colab) (pandas cheat sheet)
4. Decision trees for classification (slides) (colab)
5. Ensemble methods for classification (slides) (colab)
6. K-nearest neighbours (slides) (colab)

Module 3

1. Introduction to predictive models (slides) (colab)
2. Introduction to time series (slides) (colab)
3. Autocorrelation models (slides) (colab)
4. Ensemble methods for regression (slides) (colab)

Module 4

1. Clustering methods (slides) (colab)
2. Principal component analysis (slides) (colab)

About the author

Alan R. Vazquez is a Research Professor at the Department of Industrial Engineering at Tecnologico de Monterrey, Monterrey campus.

License

IN2004B Generation of Value with Data Analytics © 2025 by Alan R Vazquez is licensed under CC BY-NC-SA 4.0