DCL Teaching Materials

Notebooks

We’ll share our DCL teaching materials on this site. Please find below the introductory notebooks of the Digital Causality Lab.

1. Recap: Statistics
2. Introduction to R
3. Introduction to Git and GitHub
4. Using R for Causal Inference in Practice
5. Introduction to Quarto

Slides

Please find below the slides from our lecture Introduction to Causal Inference and the Digital Causality Lab.

1. Kick-off and Introduction to Causal Inference
2. Definition of Causal Effects
3. Kick-off: DCL Data Product Phase

Data Sets

1. experiment_data_counterfactual.rda
2. experiment_data_counterfactual_Ex4.rda

Link to GitHub

You can find all GitHub repositories of the Digital Causality Lab at

• https://github.com/orgs/DigitalCausalityLab/repositories

The case studies are hosted on the following GitHub repository

• https://github.com/DigitalCausalityLab/causal-case-studies

Errata, Feedback, Comments

Please contact us in case you have comments or suggestions.